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Data Analytics Data Analyst Retention

Analyzes customer retention data, designs experiments, and translates insights into actionable recommendations for subscription optimization across product, marketing, and member services.

Mid Remote Posted about 7 hours ago RemoteOK Dev
What this role involves
Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

  • Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
    • Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
    • Hypothesis & initiative valuation to inform prioritization
    • Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
  • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience


Who You Are:

  • You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
  • You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
  • You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
  • You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
  • You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
  • You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
  • Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business


What You'll Get:

  • Competitive salary
  • Sponsored 401k program with employer match up to 4%
  • Comprehensive health coverage including medical, dental and vision
  • Unlimited vacation policy that you're encouraged to use
  • Paid parental leave
  • 1-week paw-ternity leave for new dog parents
  • Free Ollie subscription
  • Inspiring pack members!


What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read the full description
Data Analytics Data Analyst Retention

Analyzes customer data to optimize subscription retention and member loyalty, designing experiments and translating insights into product decisions.

Mid Remote Posted about 7 hours ago RemoteOK Dev
What this role involves
Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

  • Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
    • Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
    • Hypothesis & initiative valuation to inform prioritization
    • Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
  • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience


Who You Are:

  • You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
  • You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
  • You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
  • You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
  • You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
  • You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
  • Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business


What You'll Get:

  • Competitive salary
  • Sponsored 401k program with employer match up to 4%
  • Comprehensive health coverage including medical, dental and vision
  • Unlimited vacation policy that you're encouraged to use
  • Paid parental leave
  • 1-week paw-ternity leave for new dog parents
  • Free Ollie subscription
  • Inspiring pack members!


What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read the full description
Data Analytics Data Analyst Retention

Analyzes customer behavior and retention data to drive data-driven decisions across product, marketing, and lifecycle communications for a pet food subscription service.

Mid Remote Posted about 7 hours ago RemoteOK Dev
What this role involves
Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

  • Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
    • Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
    • Hypothesis & initiative valuation to inform prioritization
    • Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
  • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience


Who You Are:

  • You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
  • You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
  • You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
  • You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
  • You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
  • You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
  • Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business


What You'll Get:

  • Competitive salary
  • Sponsored 401k program with employer match up to 4%
  • Comprehensive health coverage including medical, dental and vision
  • Unlimited vacation policy that you're encouraged to use
  • Paid parental leave
  • 1-week paw-ternity leave for new dog parents
  • Free Ollie subscription
  • Inspiring pack members!


What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read the full description
Data Analytics Data Scientist

Analyzes data and builds statistical models to derive insights from survey and research data collected via the Cint platform.

Posted about 11 hours ago Jobicy AI
What this role involves
Company DescriptionWho We AreCint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies,...
Read the full description
Data Analytics Mortgage Operations Analyst

Analyzes mortgage operations data and processes to optimize workflows and support business decisions for a mortgage technology company.

Mid Remote Posted about 14 hours ago Himalayas
What this role involves
Mortgage Operations AnalystLocation: India (Remote) | Hours: EST AHL + Saaf AI Saaf AI is building the AI workforce for the mortgage industry.
Read the full description
Data Analytics Finance Analyst at Kaseya

Leads large-scale financial analytics initiatives, builds automated dashboards and datasets, and translates complex financial data into executive insights for Finance Operations.

Senior Posted about 20 hours ago RemoteFirstJobs Product
What this role involves

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Position Summary

This role leads large-scale analytics initiatives across Finance Operations (order to cash), enabling automated insights, improved decision-making, and measurable business outcomes. The individual will partner cross-functionally to design robust datasets, build scalable analytical models and dashboards, and translate complex financial performance drivers into clear, executive-ready narratives.

Key Responsibilities

Automated Insights & Analytics Enablement

  • Lead initiatives to build intelligent insights and automated analysis workflows that improve efficiency and decision-making.
  • Identify high-impact Finance Operations use cases and translate them into scalable analytical and decision-support solutions.

Financial Data Products, Datasets & Dashboards

  • Partner with Finance Operations, Data, and other cross-functional teams to design, scale, and automate financial data products and dashboards.
  • Lead the design of scalable datasets, analytical models, and dashboards that enable forecasting, performance tracking, and risk management.
  • Design robust datasets and perform complex SQL queries across multiple systems to ensure data accuracy, usability, and scalability.

Hands-On Analysis, Storytelling & Cross-Functional Influence

  • Lead complex analyses (e.g., revenue, cash flow, bad debt) to uncover drivers of performance and turn insights into measurable outcomes.
  • Present insights to senior leadership and produce executive-level materials with clear, data-driven narratives.
  • Influence cross-functional teams (Finance, Finance Operations, Sales, Data Engineering) by bringing structure to ambiguity and driving alignment.

Required Qualifications

  • Bachelor’s degree in a quantitative or business field (e.g., Finance, Economics, Math, or related discipline).
  • 2+ years of experience leading large-scale analytics initiatives or programs; SaaS and finance operations (order to cash) experience preferred.
  • Proven experience building analytical or decision-support solutions (e.g., intelligent insights agents, automated analysis workflows).
  • Strong SQL expertise, with the ability to design robust datasets and perform complex queries across multiple systems.
  • Strong analytical depth and business acumen, with the ability to navigate ambiguity, uncover opportunities, and deliver clear, data-driven narratives.
  • Experience applying advanced analytics techniques, including forecasting (e.g., revenue, cash flow, bad debt), segmentation, and regression analysis to identify drivers of performance.
  • Strong written and verbal communication skills, including presenting insights to senior leadership and producing executive-level materials.
  • Demonstrated experience influencing cross-functional teams with data (Finance, Finance Operations, Sales, Data Engineering).
  • Proficiency in data visualization tools (e.g., Power BI, Sigma) and advanced Excel.
  • Track record of operating effectively in ambiguous environments, driving clarity, and delivering measurable business outcomes.

Preferred Qualifications

  • Advanced degree or relevant certifications (e.g., Master’s in Analytics, Business, or Finance).
  • Familiarity with SaaS and financial/financial operations KPIs (ARR, TCV, churn, revenue, cash, billings, credit, risk, bad debt, payments, accounts receivable).
  • Background in data modeling and building scalable analytics

Additional information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Read the full description
Data Analytics Senior Clinical Data Manager (Mexico) at Precision Medicine Group

Manages all aspects of clinical trial data from startup through database lock, including CRF development, database testing, edit checks, and data quality oversight.

Senior Posted about 20 hours ago RemoteFirstJobs Product
What this role involves

We’re expanding our capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Manager to help build the foundation of our clinical data operations in Mexico.

The Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines to be followed. This position will also oversee and/or perform database development and testing.

Essential functions of the job include but are not limited to:

  • Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) /program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs
  • Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
  • Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed
  • Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
  • May assist in building clinical databases
  • Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database
  • May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc.
  • Oversee development of the edit check specifications and manual data review specifications
  • Responsible for creating, revising, appropriate versioning and maintaining data management documentation
  • Oversee completeness of data management documentation for the Trial Master File
  • Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed
  • Review and query clinical trial data according to the Data Management Plan
  • Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
  • Run patient and study level status and metric reporting
  • Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
  • Coordinate SAE/AE reconciliation
  • Liaises with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables
  • May assist with SAS programming and quality control of SAS programs used in the Data Management department
  • Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
  • May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans(SAP) and Clinical Study Reports (CSRs), if required by the project
  • Participate in the development and maintenance of Standard Operating Procedures (SOPs)and corresponding process documentation related to data management and database management activities
  • May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings
  • May review Request for Proposals (RFP), proposals, provide project estimates
  • Provide leadership for cross-functional and organization-wide initiatives, where applicable
  • Trains and ensures that all data management project team members have been sufficiently trained
  • Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
  • May present software demonstrations/trainings, department/company training sessions, present at project meetings
  • May require some travel
  • Perform other duties as assigned

Qualifications:

Minimum Required:

  • Bachelors and/or a combination of related experience
  • Ability to communicate both verbally and in writing at the English proficiently (Professional level)

Other Required:

  • 8+ years’ experience OR Combination of qualifications and equivalent relevant experience may be accepted as an alternative.
  • Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
  • Excellent organizational and communication skills
  • Professional use of the English language; both written and oral
  • Experience in utilizing various clinical database management systems
  • Broad knowledge of drug, device and/or biologic development and effective data management practices
  • Strong representational skills, ability to communicate effectively orally and in writing
  • Strong leadership and interpersonal skills
  • Ability to undertake occasional travel

Preferred:

  • Experience in a clinical, scientific or healthcare discipline
  • Dictionary medical coding (MedDRA and WHODrug)
  • Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
  • Oncology and/or Orphan Drug therapeutic experience

#LI-AG2 #LI-REMOTE

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Read the full description
Data Analytics Finance Analyst at Kaseya

Leads large-scale financial analytics initiatives, builds automated insights and dashboards, and translates complex data into executive-ready narratives for Finance Operations.

Senior Posted about 20 hours ago RemoteFirstJobs Product
What this role involves

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Position Summary

This role leads large-scale analytics initiatives across Finance Operations (order to cash), enabling automated insights, improved decision-making, and measurable business outcomes. The individual will partner cross-functionally to design robust datasets, build scalable analytical models and dashboards, and translate complex financial performance drivers into clear, executive-ready narratives.

Key Responsibilities

Automated Insights & Analytics Enablement

  • Lead initiatives to build intelligent insights and automated analysis workflows that improve efficiency and decision-making.
  • Identify high-impact Finance Operations use cases and translate them into scalable analytical and decision-support solutions.

Financial Data Products, Datasets & Dashboards

  • Partner with Finance Operations, Data, and other cross-functional teams to design, scale, and automate financial data products and dashboards.
  • Lead the design of scalable datasets, analytical models, and dashboards that enable forecasting, performance tracking, and risk management.
  • Design robust datasets and perform complex SQL queries across multiple systems to ensure data accuracy, usability, and scalability.

Hands-On Analysis, Storytelling & Cross-Functional Influence

  • Lead complex analyses (e.g., revenue, cash flow, bad debt) to uncover drivers of performance and turn insights into measurable outcomes.
  • Present insights to senior leadership and produce executive-level materials with clear, data-driven narratives.
  • Influence cross-functional teams (Finance, Finance Operations, Sales, Data Engineering) by bringing structure to ambiguity and driving alignment.

Required Qualifications

  • Bachelor’s degree in a quantitative or business field (e.g., Finance, Economics, Math, or related discipline).
  • 2+ years of experience leading large-scale analytics initiatives or programs; SaaS and finance operations (order to cash) experience preferred.
  • Proven experience building analytical or decision-support solutions (e.g., intelligent insights agents, automated analysis workflows).
  • Strong SQL expertise, with the ability to design robust datasets and perform complex queries across multiple systems.
  • Strong analytical depth and business acumen, with the ability to navigate ambiguity, uncover opportunities, and deliver clear, data-driven narratives.
  • Experience applying advanced analytics techniques, including forecasting (e.g., revenue, cash flow, bad debt), segmentation, and regression analysis to identify drivers of performance.
  • Strong written and verbal communication skills, including presenting insights to senior leadership and producing executive-level materials.
  • Demonstrated experience influencing cross-functional teams with data (Finance, Finance Operations, Sales, Data Engineering).
  • Proficiency in data visualization tools (e.g., Power BI, Sigma) and advanced Excel.
  • Track record of operating effectively in ambiguous environments, driving clarity, and delivering measurable business outcomes.

Preferred Qualifications

  • Advanced degree or relevant certifications (e.g., Master’s in Analytics, Business, or Finance).
  • Familiarity with SaaS and financial/financial operations KPIs (ARR, TCV, churn, revenue, cash, billings, credit, risk, bad debt, payments, accounts receivable).
  • Background in data modeling and building scalable analytics

Additional information

Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Read the full description
Data Analytics Data Analyst

Data analyst who builds data infrastructure, performs analysis, and develops BI dashboards using Snowflake, dbt, and Power BI across finance, marketing, and operations.

Junior Posted about 20 hours ago RemoteOK Dev
What this role involves

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
  • Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
  • Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Read the full description
Data Analytics Data Analyst

Builds data infrastructure, creates dashboards, and partners with stakeholders across business functions to drive analytics and insights using Snowflake, dbt, Power BI, and AI-assisted development.

Junior Posted about 20 hours ago RemoteOK Dev
What this role involves

ABOUT US

Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations.

We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly.

We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities.

YOUR ROLE

The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process.

You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook.

We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio.

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics.

YOUR RESPONSIBILITIES

  • Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
  • Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
  • Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
  • Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
  • Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
  • Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
  • Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
  • Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
  • Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

YOUR SKILLS AND EXPERIENCE

  • 3+ years of professional experience as a data analyst, analytics engineer, or similar role
  • Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off
  • Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar)
  • Version control with Git/GitHub as part of your normal workflow
  • Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)
  • A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy
  • History of building collaborative, trusting relationships with non-technical stakeholders
  • Comfort presenting findings to leadership verbally, in writing, and visually

PREFERRED ADDITIONAL SKILLS AND EXPERIENCE

Though not required, we would consider the following as an added plus:

  • Working knowledge of Python and/or R for analysis
  • Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex)
  • Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo
  • Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company
  • Experience working in a small or solo data team where you owned the work end-to-end

THE FINE PRINT

  • Must be able to work in a stationary position 50% - 75% of the work day
  • Medical, Dental Vision plans
  • Company Paid Long Term Disability
  • Employee Assistance Programs
  • 401k with Match
  • Generous paid time off policies
  • Gear test, perks and more

We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications.

This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Read the full description
Data Analytics Data Analyst

Gathers, analyzes, and visualizes complex datasets using SQL, Python, and BI tools to support data-driven business decisions and insights.

Mid Remote Posted about 24 hours ago RemoteOK Dev
What this role involves
About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

  • Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
  • Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
  • Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
  • Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
  • Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
  • Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
  • Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
  • Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
  • Identifying and implementing best practices for data visualization, reporting and analysis
  • Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
  • Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency

Responsibilities:

  • Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
  • At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
  • 5+ years of real-world data engineering development experience in Snowflake
  • Proficient in the application of DBT
  • Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
  • Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
  • Experience with data modeling and schema design
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
  • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
  • Demonstrated leadership experience with the ability to mentor and develop junior analysts
  • Experience with data governance, data quality, and data integrity efforts
  • Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
  • Strong project management skills with the ability to manage multiple projects and priorities simultaneously
  • for data integration, storage, processing, and manipulation

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

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Data Analytics Data Analyst

Gathers, analyzes, and visualizes complex datasets using SQL, Python, and BI tools to support data-driven business decisions.

Mid Remote Posted about 24 hours ago RemoteOK Dev
What this role involves
About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

  • Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
  • Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
  • Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
  • Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
  • Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
  • Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
  • Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
  • Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
  • Identifying and implementing best practices for data visualization, reporting and analysis
  • Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
  • Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency

Responsibilities:

  • Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
  • At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
  • 5+ years of real-world data engineering development experience in Snowflake
  • Proficient in the application of DBT
  • Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
  • Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
  • Experience with data modeling and schema design
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
  • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
  • Demonstrated leadership experience with the ability to mentor and develop junior analysts
  • Experience with data governance, data quality, and data integrity efforts
  • Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
  • Strong project management skills with the ability to manage multiple projects and priorities simultaneously
  • for data integration, storage, processing, and manipulation

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

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BXpUrbjGWn
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Data Analytics Senior Systems Analyst – Oracle HCM

Manages and analyzes Oracle HCM systems to support healthcare data operations and business intelligence.

Senior Posted 1 day ago Jobicy AI
What this role involves
Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations...
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Data Analytics Senior Data Scientist

Develops data models and analytical solutions to support supply chain optimization and business intelligence for independent retail operations.

Senior Posted 1 day ago Jobicy AI
What this role involves
About Rundoo ℹ️Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery—these are our clients. From paint to lumber to...
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Data Analytics Senior Data Scientist

Senior Data Scientist builds and deploys data models and analytics solutions to support supply store operations and business intelligence for Rundoo's B2B platform.

Senior Posted 1 day ago Jobicy AI
What this role involves
About Rundoo ℹ️Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery—these are our clients. From paint to lumber to...
Read the full description
Data Analytics Business Intelligence Analyst

Designs and maintains Power BI dashboards, develops data models, and delivers analytics insights to support regulatory and strategic decision-making for a government digital platform.

Mid Hybrid Posted 1 day ago RemoteOK Dev
What this role involves
Business Intelligence (Power BI) Analyst

Client: Government of Alberta (GoA) – Technology and Innovation
Project: Digital Regulatory Assurance System (DRAS)
Location: Remote within Canada (Occasional onsite meetings in Edmonton, AB)
Duration: Long-Term Contract (Approx. 18 Months + Possible 6-Month Extension)
Hours: 36.25 Hours/Week (Monday – Friday, Alberta Time)
Start Date: June 2026

About the Project

The Digital Regulatory Assurance System (DRAS) is a major Government of Alberta initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes.

DRAS supports the complete regulatory lifecycle—from application and authorization through compliance monitoring, remediation, and closure—using a single digital platform. As the volume and complexity of data continue to grow, the program requires an experienced Business Intelligence Analyst to provide advanced analytics, reporting, dashboard development, and data-driven insights that support operational and strategic decision-making.

Key Responsibilities
  • Design, develop, and maintain advanced dashboards, scorecards, and visual analytics using Microsoft Power BI.
  • Build and optimize enterprise reporting solutions using Power BI, DAX, and Power Query.
  • Develop and maintain data models, semantic models, and ETL processes.
  • Integrate Power BI solutions with Azure-based data platforms and on-premises data sources.
  • Collaborate with business stakeholders, data architects, and data engineers to understand reporting requirements and KPIs.
  • Translate business requirements into scalable analytical and reporting solutions.
  • Conduct data analysis to identify trends, patterns, anomalies, and business opportunities.
  • Present analytical findings and recommendations to business and executive stakeholders.
  • Implement and maintain Power BI Service features including scheduled refreshes, alerts, and workspace management.
  • Configure Row-Level Security (RLS), incremental refresh, and performance optimization strategies.
  • Ensure data quality, consistency, governance, and security compliance.
  • Provide end-user support, training, and documentation.
  • Leverage AI-assisted analytics tools to automate insights generation and enhance reporting capabilities.
  • Perform other related duties as required.
Mandatory Qualifications

Education


  • Post-secondary Degree, Diploma, or Certificate in Computer Science, Information Technology, Data Analytics, or a related discipline.

Experience


  • 5+ years of experience translating business requirements into analytical and reporting solutions.
  • 5+ years of hands-on experience designing, developing, and optimizing advanced Power BI dashboards and reports.
  • 5+ years of experience with SQL for querying, data transformation, and reporting.
  • 5+ years of experience analyzing large and complex datasets.
  • 5+ years of experience developing complex DAX measures, calculated columns, and data models.
  • 4+ years of experience implementing Power BI Service capabilities including refresh schedules, security, and deployment.
  • 4+ years of experience designing business intelligence and analytics solutions.
  • 4+ years of experience using advanced data visualization and storytelling techniques.
  • Strong experience working with Azure data platforms and enterprise reporting environments.
Preferred Qualifications
  • Experience with source code control and version management practices.
  • Experience leveraging AI-assisted analytics tools and technologies.
  • Experience with Databricks Medallion Architecture.
  • Experience building data products using Azure Synapse Analytics.
  • Experience working with Government of Alberta data environments and datasets.
Work Arrangement
  • Remote work from within Canada is required.
  • Resource must supply their own computer and equipment.
  • Windows operating system is preferred for Azure Virtual Desktop (AVD) compatibility.
  • Occasional onsite meetings may be required in Edmonton, Alberta (approximately 3–4 times annually or as needed).
  • Travel, accommodation, relocation, and related expenses will not be reimbursed.
Security Requirements
  • Criminal Record Check may be required prior to project commencement.
  • Successful candidate must complete mandatory Government of Alberta training, including:
    • Freedom of Information and Protection of Privacy (FOIP)
    • Security Awareness Training
    • Other required onboarding courses
Submission Requirements

Candidates must provide:

  • Updated Resume
  • Detailed project descriptions demonstrating required experience
  • Employment history in MMM/YYYY to MMM/YYYY format
  • Three professional references (most recent first)
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Data Analytics Jr. Product Analyst, Chef Marketing at CookUnity

Analyzes data on chef marketing campaigns, loyalty programs, and customer retention to support product decisions and own small experiments end-to-end.

Junior Posted 2 days ago RemoteFirstJobs Product
What this role involves

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

About The Team:

Chef Marketing is one of the most dynamic teams within CookUnity’s BizOps organization. Our mission is to create tools, campaigns, and features that help chefs grow their business on the platform, improve their reach, boost sales, and foster loyalty among their customers — while also enhancing the end-to-end experience for our eaters.

We operate as an “internal growth engine” — collaborating closely with other Product Managers, Data, Engineering, Marketing, and the Chef community to drive measurable impact on chef earnings, customer retention, and platform revenue. We ship fast, test constantly, and always put both the Chef and the Eater at the center of our work.

Importantly, Chef Marketing also owns and contributes to customer-facing product experiences, especially around loyalty and retention. Many of the features and campaigns we build are seen and used directly by CookUnity eaters — from in-menu merchandising, to post-purchase experiences, to loyalty journeys.

Our current initiatives span a wide range:

  • Dynamic merchandising & personalization (Menu sorting, loyalty ribbons, post-purchase modules)
  • Loyalty and retention campaigns (Autopilot, Free Meals, Winback)
  • On-platform marketing tools for chefs (Campaign builders, performance insights)
  • Automated promotional mechanics (Add & Save, Autopilot, Collections)
  • CRM & segmentation frameworks
  • Analytics & reporting for chefs
  • Customer-facing product features to boost retention and lifetime value
  • Experiments to improve chef performance and customer engagement

We’re looking to expand the team with a Product Analyst who can help us move faster, deepen our data-driven decision making, and start owning small product areas and experiments end-to-end — both on the chef side and eater side of the marketplace.

The Role:

As a Product Analyst for Chef Marketing, you will play a hybrid role across Product, Analytics, and Execution.

You will:

  • Help define and track success metrics for chef-facing and customer-facing initiatives.
  • Build dashboards and reports to monitor performance and drive decision-making.
  • Partner with engineers and designers to develop new growth tools for chefs and loyalty experiences for eaters.
  • Own small features or experiments end-to-end (spec → build → launch → learn → iterate).
  • Support Product Managers with roadmap execution, backlog grooming, and prioritization.
  • Collaborate with Data Analysts and BizOps to drive insights and surface opportunities.
  • Work directly with our Chef Success team to understand chef needs and feedback.

This is an ideal role if you’re an ambitious Analyst looking to grow into Product, or a Junior PM who loves data and experimentation.

Responsibilities:

  • Define and track KPIs for Chef Marketing initiatives (retention uplift, AOV impact, chef ROI, engagement, LTV uplift, etc.).
  • Build dashboards, reports, and self-serve tools for internal stakeholders.
  • Run deep-dive analyses to uncover trends, opportunities, and pain points.
  • Support the PM team in writing clear specs and user stories.
  • Partner with engineers to QA and validate new features pre/post launch.
  • Help run A/B tests, analyze results, and generate actionable insights.
  • Assist with product discovery, user interviews, and feedback loops with Chefs and Eaters.
  • Manage small roadmap items and experiments from start to finish.
  • Contribute to the evolution of our CRM / Loyalty / Chef Growth tooling and customer experience features.

Preferred Requirements:

  • 1-3 years experience as a Product Analyst or Junior Product Manager — ideally in a consumer-facing, growth, marketplace, or e-commerce environment.
  • Strong analytical mindset — comfortable working with data and extracting actionable insights.
  • Experience with SQL and/or BI tools (Looker, Tableau, Mixpanel, Amplitude, etc.).
  • Familiarity with A/B testing methodologies and statistical analysis.
  • Excellent written and verbal communication skills — ability to explain data-driven decisions to non-technical partners.
  • Collaborative team player — able to work across Product, Engineering, Marketing, BizOps, and Chef Success.
  • Self-starter mentality, ability to manage multiple priorities and operate with autonomy.
  • Interest in growing into a full Product Manager role over time.
  • Strong analytical thinker, but also user-obsessed: can balance data with empathy.
  • Bias for action: gets things done and iterates quickly.
  • Collaborative, low-ego, and solutions-oriented.
  • Comfortable operating in a fast-paced, evolving environment.
  • Excited about CookUnity’s mission to empower chefs and delight eaters.

Minimum Requirements:

  • Experience in a marketplace, subscription, loyalty, or growth-focused product is a plus.
  • Experience with product management tools: Jira, Figma, Notion.
  • Knowledge of CRM / retention / lifecycle marketing concepts.
  • Experience working with chefs, creators, merchants, or SMBs is a plus.
  • Experience building internal tools or dashboards for non-technical users.
  • Curiosity for how chefs grow their business and how to empower them with great tools.
  • Experience contributing to customer-facing product experiences (landing pages, loyalty features, menu merchandising, post-purchase flows).

Benefits:

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

If you’re interested in this role, please submit your application, and if we think you might be a fit, we’ll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates

We’ve recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief “proof of humanity” to confirm that we’re connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

  • Apply only through our official channels.All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people — and easy to verify.You can always find them on LinkedIn with verified profiles. If you’re unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels.That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
  • We’ll never ask for payment or personal financial details.If anyone does, please don’t share any information and let us know right away.

If something ever feels off or you’re unsure about a message, we’d much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Read the full description
Data Analytics Data Scientist - Production Engineering at Cordial

Operationalizes, optimizes, and scales data science models in production, working with ML systems, statistical models, and large datasets to improve performance and reliability.

Mid Posted 2 days ago RemoteFirstJobs Product
What this role involves

ABOUT CORDIAL

We founded Cordial in 2014 on the belief that there should be more humanity and empathy in marketing—both in how brands communicate with their customers and in how technology companies work with brands. We built our company and platform purposefully, driven by a desire to inspire more thoughtful communication and to create experiences that feel more personal and human—for consumers, for the people at the companies we work with, and for Cordial employees. Today, brands like PacSun, Revolve, Abercrombie & Fitch, Realtor.com, L.L. Bean and Forbes rely on Cordial to drive revenue growth by sending a better message.

We chose the name Cordial to symbolize how we empower our clients to communicate with their customers, as well as how we do business: with transparency, collaboration, and trust. We’re building a passionate team of individuals willing to learn, grow, and be thoughtfully challenged on a daily basis to continuously improve our product, company, and culture every single day.

OUR VALUES

  • Communicate better than the rest
  • Own it, every time
  • Solve client problems tenaciously
  • Make Waves

Role Overview

We are looking to add a Data Scientist – Production Engineering to our data science team. This role focuses on operationalizing, optimizing, and scaling data science models and systems that are already in production or transitioning into production.

Our data science work extends beyond traditional machine learning and includes statistical models, optimization logic, heuristics, rules-based systems, ML and LLM models, all operating on large, real-world datasets. This role is designed to strengthen the implementation and performance side of our data science stack while working closely with data scientists, engineering and product teams. This role requires someone who can ramp up quickly, work independently, and contribute meaningfully without extensive onboarding.

Key Responsibilities

  • Optimize existing data science models and systems for performance, scalability, and reliability
  • Translate research-grade or prototype data science code into production-ready implementations
  • Work with large datasets and improve efficiency related to memory usage, runtime, and compute cost
  • Contribute to and maintain production data pipelines and workflows.
  • Collaborate closely with other data scientists to preserve model intent, correctness, and assumptions while improving implementation quality
  • Debug and resolve issues in production or near-production data science workflows
  • Improve robustness, monitoring, and maintainability of deployed models and pipelines
  • Support iterative model improvements and system evolution as business needs change

Required Experience & Qualifications

  • Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field , plus 3+ years of experience working with real-world, industry, or production data in a data science, applied ML, or analytics role
  • Demonstrated experience contributing to production data science or analytics systems, not only exploratory or academic projects
  • Strong programming skills in Python and experience writing maintainable, production-quality code
  • Experience working with large datasets and performance-sensitive workflows
  • The code word is #becordial
  • Prior experience with data pipelines and orchestration frameworks (e.g., Dagster, Airflow, etc.)
  • Cloud platform expertise, particularly AWS services (Glue, Athena, ECS, S3 Tables, etc.) for scalable data processing and model deployments
  • Hands-on experience with modern data warehouse solutions (Snowflake, BigQuery, etc.) including query optimization, clustering strategies, and cost management
  • Experience with big data technologies and distributed computing frameworks for handling enterprise-scale event datasets
  • Solid understanding of data science fundamentals, including statistics and modeling concepts, sufficient to work closely with research-oriented data scientists
  • Ability to work independently and ramp up quickly in an existing codebase and system
  • Experience working in small, fast-moving teams where ownership and autonomy are expected

COMPENSATION & BENEFITS

$140,000.00 - $175,000.00 base salary annually. The compensation range may be adjusted based on experience and location. In combination with base salary, Cordial’s compensation package includes equity and bonus, a robust benefit plan (medical/dental/vision/life), 401k match, flexible time off and paid company holidays. Additionally, we offer perks such as an annual company conference, childcare and continued education yearly reimbursements. We pride ourselves in maintaining a healthy work/life balance, a strong dedication to DE&I efforts, and an overall respectful and open culture!

APPLICATION INSTRUCTIONS

Resume Submission Requirement — Please Read Carefully

When uploading your resume, your file must be named in the following format:

FIRSTNAME-LASTNAME-CORDIAL2026

Example: JOE-DOE-CORDIAL2026

Applications that do not follow this naming convention exactly will be automatically rejected and will not be reviewed. Please double-check your file name before submitting.

Accepted file formats: PDF or Word (.docx)

WORK AUTHORIZATION

As of January 1, 2026, Cordial does not provide visa sponsorship, visa transfers, immigration support, or employment-related documentation for immigration purposes, including letters supporting visa applications, renewals, transfers, or work authorization, for new hires.

Cordial is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability status, sex (including pregnancy), age, gender, gender identity or expression, sexual orientation, marital status, veteran status, or any other characteristic protected by law.

Cordial is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you’ve begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Read the full description
Data Analytics Jr. Product Analyst, Chef Marketing at CookUnity

Analyzes product data, runs experiments, and builds analytics/reporting tools to support chef growth and customer retention initiatives on the CookUnity platform.

Junior Posted 2 days ago RemoteFirstJobs Product
What this role involves

About CookUnity:

Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you’ve found the right job posting.

About The Team:

Chef Marketing is one of the most dynamic teams within CookUnity’s BizOps organization. Our mission is to create tools, campaigns, and features that help chefs grow their business on the platform, improve their reach, boost sales, and foster loyalty among their customers — while also enhancing the end-to-end experience for our eaters.

We operate as an “internal growth engine” — collaborating closely with other Product Managers, Data, Engineering, Marketing, and the Chef community to drive measurable impact on chef earnings, customer retention, and platform revenue. We ship fast, test constantly, and always put both the Chef and the Eater at the center of our work.

Importantly, Chef Marketing also owns and contributes to customer-facing product experiences, especially around loyalty and retention. Many of the features and campaigns we build are seen and used directly by CookUnity eaters — from in-menu merchandising, to post-purchase experiences, to loyalty journeys.

Our current initiatives span a wide range:

  • Dynamic merchandising & personalization (Menu sorting, loyalty ribbons, post-purchase modules)
  • Loyalty and retention campaigns (Autopilot, Free Meals, Winback)
  • On-platform marketing tools for chefs (Campaign builders, performance insights)
  • Automated promotional mechanics (Add & Save, Autopilot, Collections)
  • CRM & segmentation frameworks
  • Analytics & reporting for chefs
  • Customer-facing product features to boost retention and lifetime value
  • Experiments to improve chef performance and customer engagement

We’re looking to expand the team with a Product Analyst who can help us move faster, deepen our data-driven decision making, and start owning small product areas and experiments end-to-end — both on the chef side and eater side of the marketplace.

The Role:

As a Product Analyst for Chef Marketing, you will play a hybrid role across Product, Analytics, and Execution.

You will:

  • Help define and track success metrics for chef-facing and customer-facing initiatives.
  • Build dashboards and reports to monitor performance and drive decision-making.
  • Partner with engineers and designers to develop new growth tools for chefs and loyalty experiences for eaters.
  • Own small features or experiments end-to-end (spec → build → launch → learn → iterate).
  • Support Product Managers with roadmap execution, backlog grooming, and prioritization.
  • Collaborate with Data Analysts and BizOps to drive insights and surface opportunities.
  • Work directly with our Chef Success team to understand chef needs and feedback.

This is an ideal role if you’re an ambitious Analyst looking to grow into Product, or a Junior PM who loves data and experimentation.

Responsibilities:

  • Define and track KPIs for Chef Marketing initiatives (retention uplift, AOV impact, chef ROI, engagement, LTV uplift, etc.).
  • Build dashboards, reports, and self-serve tools for internal stakeholders.
  • Run deep-dive analyses to uncover trends, opportunities, and pain points.
  • Support the PM team in writing clear specs and user stories.
  • Partner with engineers to QA and validate new features pre/post launch.
  • Help run A/B tests, analyze results, and generate actionable insights.
  • Assist with product discovery, user interviews, and feedback loops with Chefs and Eaters.
  • Manage small roadmap items and experiments from start to finish.
  • Contribute to the evolution of our CRM / Loyalty / Chef Growth tooling and customer experience features.

Preferred Requirements:

  • 1-3 years experience as a Product Analyst or Junior Product Manager — ideally in a consumer-facing, growth, marketplace, or e-commerce environment.
  • Strong analytical mindset — comfortable working with data and extracting actionable insights.
  • Experience with SQL and/or BI tools (Looker, Tableau, Mixpanel, Amplitude, etc.).
  • Familiarity with A/B testing methodologies and statistical analysis.
  • Excellent written and verbal communication skills — ability to explain data-driven decisions to non-technical partners.
  • Collaborative team player — able to work across Product, Engineering, Marketing, BizOps, and Chef Success.
  • Self-starter mentality, ability to manage multiple priorities and operate with autonomy.
  • Interest in growing into a full Product Manager role over time.
  • Strong analytical thinker, but also user-obsessed: can balance data with empathy.
  • Bias for action: gets things done and iterates quickly.
  • Collaborative, low-ego, and solutions-oriented.
  • Comfortable operating in a fast-paced, evolving environment.
  • Excited about CookUnity’s mission to empower chefs and delight eaters.

Minimum Requirements:

  • Experience in a marketplace, subscription, loyalty, or growth-focused product is a plus.
  • Experience with product management tools: Jira, Figma, Notion.
  • Knowledge of CRM / retention / lifecycle marketing concepts.
  • Experience working with chefs, creators, merchants, or SMBs is a plus.
  • Experience building internal tools or dashboards for non-technical users.
  • Curiosity for how chefs grow their business and how to empower them with great tools.
  • Experience contributing to customer-facing product experiences (landing pages, loyalty features, menu merchandising, post-purchase flows).

Benefits:

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

If you’re interested in this role, please submit your application, and if we think you might be a fit, we’ll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

A quick note for all candidates

We’ve recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief “proof of humanity” to confirm that we’re connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us:

  • Apply only through our official channels.All open roles are listed on our official careers page: careers.cookunity.com
  • Our recruiters are real people — and easy to verify.You can always find them on LinkedIn with verified profiles. If you’re unsure, feel free to reach out to us on our official LinkedIn Company Page.
  • We only communicate through official CookUnity channels.That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.
  • We’ll never ask for payment or personal financial details.If anyone does, please don’t share any information and let us know right away.

If something ever feels off or you’re unsure about a message, we’d much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Read the full description
Data Analytics Data QA Associate

Ensures data quality and accuracy through testing, validation, and QA processes for market research and analytics datasets.

Junior Posted 3 days ago Himalayas
What this role involves
About Us:YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.
Read the full description