Data Analyst Jobs at Whatnot with Visa Sponsorship
Data Analyst jobs at Whatnot power decisions across its live commerce platform, from seller behavior to buyer trends. The company has a track record of sponsoring international talent in analytical roles, making it a realistic target if you're on a work visa or transitioning from student status.
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Get Access To All JobsJoin the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces – together.
From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
Role
As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We’re looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
In this role, you will:
Generate Insights & Shape Product Direction
- Define and own the KPIs that measure product health, user engagement, and marketplace performance.
- Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
- Translate complex data into actionable recommendations for product and leadership teams.
Drive Experimentation & Measurement
- Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
- Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
- Build scalable methodologies to understand feature performance and guide iteration.
Build Data Products & Tools
- Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
- Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
Lead Cross-Functional Collaboration
- Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
US Based:
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
You
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
As our next Product Data Scientist, you bring:
Experience & Expertise
- 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
- Proven experience applying statistical and analytical methods to real-world product problems.
Technical Skills
- Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
- Proficiency with Python or R for data analysis, modeling, and experimentation.
- Experience designing and analyzing A/B tests and understanding causal inference techniques.
- Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
Collaboration & Leadership
- Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
- Experience leading cross-functional projects and influencing product strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
Compensation
For Full-Time (Salary) US based applicants: $175,000/year to $240,000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- Health Insurance options including Medical, Dental, Vision
-
Work From Home Support
-
Home office setup allowance
- Monthly allowance for cell phone and internet
-
Care benefits
-
Monthly allowance for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
-
Monthly allowance to dogfood the app
-
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
-
Parental Leave
-
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $175K - $240K
Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces – together.
From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
Role
As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We’re looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
In this role, you will:
Generate Insights & Shape Product Direction
- Define and own the KPIs that measure product health, user engagement, and marketplace performance.
- Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
- Translate complex data into actionable recommendations for product and leadership teams.
Drive Experimentation & Measurement
- Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
- Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
- Build scalable methodologies to understand feature performance and guide iteration.
Build Data Products & Tools
- Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
- Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
Lead Cross-Functional Collaboration
- Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
US Based:
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
You
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
As our next Product Data Scientist, you bring:
Experience & Expertise
- 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- A bachelor’s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
- Proven experience applying statistical and analytical methods to real-world product problems.
Technical Skills
- Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
- Proficiency with Python or R for data analysis, modeling, and experimentation.
- Experience designing and analyzing A/B tests and understanding causal inference techniques.
- Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
Collaboration & Leadership
- Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
- Experience leading cross-functional projects and influencing product strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
Compensation
For Full-Time (Salary) US based applicants: $175,000/year to $240,000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- Health Insurance options including Medical, Dental, Vision
-
Work From Home Support
-
Home office setup allowance
- Monthly allowance for cell phone and internet
-
Care benefits
-
Monthly allowance for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
-
Monthly allowance to dogfood the app
-
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
-
Parental Leave
-
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $175K - $240K
See all Data Analyst Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs at Whatnot.
Get Access To All JobsTips for Finding Data Analyst Jobs at Whatnot
Frame your portfolio around commerce data
Whatnot operates a live shopping marketplace, so analysts who can demonstrate experience with transaction data, funnel analysis, or marketplace metrics stand out. Build case studies that mirror the problems a retail platform actually faces.
Target roles that match your visa timeline
If you're on F-1 OPT, confirm your STEM extension eligibility before applying. Whatnot sponsors multiple visa types, but the right fit between role seniority and your current status affects how quickly the process can move.
Find open Data Analyst roles on Migrate Mate
Migrate Mate filters Whatnot's open Data Analyst positions by visa type, so you can confirm sponsorship eligibility before applying. Search by the visa types Whatnot sponsors to focus your applications where you're actually a fit.
Ask about LCA filing timing during offers
The Labor Condition Application must be certified by DOL before your H-1B or E-3 petition is filed. When you reach the offer stage, ask the recruiter how long the internal approval and DOL certification process typically takes at Whatnot.
Prepare for SQL and experimentation-heavy interviews
Whatnot's analyst interviews typically involve hands-on SQL and A/B testing scenarios tied to platform growth. Review how live commerce platforms measure seller acquisition, retention, and take-rate to answer case questions in context.
Verify your employer's E-Verify enrollment before accepting
F-1 CPT and OPT authorization requires your employer to participate in E-Verify. Confirm Whatnot's enrollment status through the E-Verify employer search before countersigning an offer, especially if your work authorization depends on it.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Data Analysts?
Yes, Whatnot sponsors H-1B visas for Data Analyst roles. Because H-1B cap-subject petitions are tied to the annual lottery, timing matters. If you're already in H-1B status or transferring from another employer, Whatnot can file a transfer petition year-round without waiting for the next lottery cycle.
How do I apply for Data Analyst jobs at Whatnot?
Apply through Whatnot's careers page or browse their open Data Analyst positions on Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility upfront. Tailor your application to Whatnot's live commerce context, emphasizing experience with marketplace data, product analytics, or growth metrics relevant to a retail platform.
Which visa types does Whatnot commonly sponsor for Data Analyst roles?
Whatnot sponsors a range of visa types for analytical roles, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa, and employment-based Green Cards through EB-2 and EB-3 pathways. The right category depends on your nationality, degree, and current immigration status.
What qualifications does Whatnot expect for Data Analyst roles?
Most Data Analyst openings at Whatnot expect proficiency in SQL, experience with data visualization tools, and a background in product or business analytics. A bachelor's degree in a quantitative field is standard, and experience in e-commerce, marketplace platforms, or consumer technology is a strong differentiator given the live shopping context of the business.
How do I think about the visa filing timeline after receiving an offer?
Timeline depends on your visa type. For H-1B transfers or E-3 petitions, plan for two to four weeks of internal processing before USCIS or consular filing begins. If you're transitioning from OPT, confirm your grace period and any cap-gap coverage with your immigration attorney so there's no gap in your work authorization between your OPT end date and H-1B start date.