Senior Data Analyst, Experimentation
Location not identified
We’re checking whether it has closed. This saved copy remains available for reference.
- Pay
$120,000–135,000/yearAnnual period assumed — pay source
Details of Position & Benefits: Salary range $120,000 - $135,000 Full-time exempt position
Read the full posting- Work setup
Remote stated — work setup source
Listed location: Remote
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingAs a Senior Data Analyst, Experimentation at Misfits Market, you’ll serve as the company’s go-to expert on experimental design and causal inference, while remaining hands-on with stakeholder dashboarding needs.
Own experimentation analytics.
Maintain analytics roadmap to prioritize initiatives, communicate timelines, and ensure successful, timely completion of deliverables
Design, monitor and interpret A/B and multivariate tests across Product and Marketing
From the employer’s posting
As a Senior Data Analyst, Experimentation at Misfits Market, you’ll serve as the company’s go-to expert on experimental design and causal inference, while remaining hands-on with stakeholder dashboarding needs. You’ll help evolve our experimentation culture by designing and evaluating controlled experiments, developing models to improve and simplify dashboard development, and mentor analysts on designing experiments and interpreting results.
Responsibilities: Own experimentation analytics. Design, monitor and interpret A/B and multivariate tests across Product and Marketing Partner with Product Managers and Marketing leads to prioritize experiments using frameworks like ICE or PIE
Identify areas of opportunity to move from descriptive to predictive analytics, and ad-hoc to self-serve reporting Maintain analytics roadmap to prioritize initiatives, communicate timelines, and ensure successful, timely completion of deliverables Skills and Qualifications:
Education & alternatives
Skills and Qualifications: - Master’s degree in Data Science, Computer Science, Statistics, or a related field with 3+ years of relevant experience, or Bachelor’s degree in the same fields with 5+ years of relevant experience - Expert-level SQL skills - you are comfortable writing complex queries and optimizing for performance
Tools in this posting
- Python
- R
- SQL
- dbt
- Power BI
- Tableau
Source — Tool mentions in context
- Experience with dbt and data modeling best practices - Proficiency with Python or R for statistical analysis - Experience with visualization tools, such as Mode, Tableau, PowerBI, etc
- Develop descriptive reporting dashboards across Product, Merchandising, and other teams - Dive into complex SQL and break down problems - Identify areas of opportunity to move from descriptive to predictive analytics, and ad-hoc to self-serve reporting
- Master’s degree in Data Science, Computer Science, Statistics, or a related field with 3+ years of relevant experience, or Bachelor’s degree in the same fields with 5+ years of relevant experience - Expert-level SQL skills - you are comfortable writing complex queries and optimizing for performance - Deep understanding of experiment design, causal inference, and statistical testing
- Collaborate with engineering to ensure consistent event tracking and instrumentation design - Develop internal experimentation frameworks. Build dbt models and dashboards that automate experiment tracking, power statistical analyses, and improve interpretability. - Mentor analysts: guide the team in best practices for causal inference, power analysis, metric selection, and communicating uncertainty.
- Mentor analysts: guide the team in best practices for causal inference, power analysis, metric selection, and communicating uncertainty. - Improve data infrastructure: maintain and improve dbt models, metrics definitions, and self-serve data assets. - Develop descriptive reporting dashboards across Product, Merchandising, and other teams
- Deep understanding of experiment design, causal inference, and statistical testing - Experience with dbt and data modeling best practices - Proficiency with Python or R for statistical analysis
- Proficiency with Python or R for statistical analysis - Experience with visualization tools, such as Mode, Tableau, PowerBI, etc - Experience with data pipelines - have created and/or are comfortable communicating ETL needs to engineering
About Misfits Market
Misfits Market is a mission-driven, high-growth startup dedicated to reducing food waste and making shopping for sustainable, high-quality groceries easier and more affordable.
In the employer’s words · Read in context
Job description
About Misfits Market:
Misfits Market is a mission-driven, high-growth startup dedicated to reducing food waste and making shopping for sustainable, high-quality groceries easier and more affordable. We deliver organic produce, high-quality meats and seafood, plant-based proteins, dairy, bakery, wine, and other grocery items to nearly every zip code in 48 states at up to 30 percent off traditional grocery store prices. In 2022, Misfits Market acquired sustainable e-grocer Imperfect Foods and now leverages its in-house transportation network to deliver directly to consumers with one of the most carbon-efficient grocery delivery models on the market. By tackling inefficiencies in the food system, our passionate and motivated team of problem solvers helps save an average of 500,000 pounds of food per week from waste or lesser outcomes, with an all-time savings of 190+ million pounds of food.
As Misfits we support our customers and mission by embracing our core values of:
Prioritizing our Customers
Doing more with less
Thinking Differently
Respecting one another
Moving deliberately and quickly
Taking initiative and delivering
About the team:
The Data Analytics team is a pivotal part of the organization, closely collaborating with major stakeholders across the company including Product, Finance, Operations, Growth Marketing, Merchandising, and Logistics. Our primary goal is to craft insightful reporting on key metrics, empowering immediate and impactful actions. We are recognized as trusted advisors, having a significant voice in guiding the strategic direction of these departments.
As a team, we foster both specialization and generalization. Each team member serves as a point of contact for a specific department, ensuring tailored support and expertise. Simultaneously, we emphasize a broad understanding of all departments we work with. This ensures a cohesive, supportive environment where knowledge is shared, and support and collaboration is common.
About the role:
As a Senior Data Analyst, Experimentation at Misfits Market, you’ll serve as the company’s go-to expert on experimental design and causal inference, while remaining hands-on with stakeholder dashboarding needs. You’ll help evolve our experimentation culture by designing and evaluating controlled experiments, developing models to improve and simplify dashboard development, and mentor analysts on designing experiments and interpreting results.
Responsibilities:
- Own experimentation analytics. Design, monitor and interpret A/B and multivariate tests across Product and Marketing
- Partner with Product Managers and Marketing leads to prioritize experiments using frameworks like ICE or PIE
- Translate experimental results into business recommendations
- Collaborate with engineering to ensure consistent event tracking and instrumentation design
- Develop internal experimentation frameworks. Build dbt models and dashboards that automate experiment tracking, power statistical analyses, and improve interpretability.
- Mentor analysts: guide the team in best practices for causal inference, power analysis, metric selection, and communicating uncertainty.
- Improve data infrastructure: maintain and improve dbt models, metrics definitions, and self-serve data assets.
- Develop descriptive reporting dashboards across Product, Merchandising, and other teams
- Dive into complex SQL and break down problems
- Identify areas of opportunity to move from descriptive to predictive analytics, and ad-hoc to self-serve reporting
- Maintain analytics roadmap to prioritize initiatives, communicate timelines, and ensure successful, timely completion of deliverables
Skills and Qualifications:
- Master’s degree in Data Science, Computer Science, Statistics, or a related field with 3+ years of relevant experience, or Bachelor’s degree in the same fields with 5+ years of relevant experience
- Expert-level SQL skills - you are comfortable writing complex queries and optimizing for performance
- Deep understanding of experiment design, causal inference, and statistical testing
- Experience with dbt and data modeling best practices
- Proficiency with Python or R for statistical analysis
- Experience with visualization tools, such as Mode, Tableau, PowerBI, etc
- Experience with data pipelines - have created and/or are comfortable communicating ETL needs to engineering
- Strong communication skills - you can gather user stories and translate data insights to stakeholders of varying levels of technical knowledge
- Experience working as part of a cross-functional data team
Preferred / Nice to have:
- Prior experience in e-commerce or lifecycle marketing
Details of Position & Benefits:
- Salary range $120,000 - $135,000
- Full-time exempt position
- 100 % Remote Work
- Salary and employee stock options commensurate with experience
- Unlimited PTO
- Multiple health, dental, and vision plan options
- Life Insurance
- 401K plan
Your next step
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Details of Position & Benefits: Salary range $120,000 - $135,000 Full-time exempt position
- Location & working pattern
Remote
- Full-time exempt position - 100 % Remote Work - Salary and employee stock options commensurate with experience
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Jun 26, 2026
- Recorded sightings
- 5
- Last seen by us
- Oct 5, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.