Analytics Engineer Jobs at Whatnot with Visa Sponsorship
Analytics Engineer jobs at Whatnot involve building the data infrastructure behind its live commerce platform, working across pipelines, modeling, and product analytics. The company has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple visa categories from OPT through to permanent residency pathways.
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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 Analytics Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding Analytics Engineer Jobs at Whatnot
Frame your dbt and warehouse experience clearly
Whatnot's analytics engineering work centers on dbt, Snowflake or BigQuery, and product data modeling. Before applying, make sure your resume explicitly names the tools and frameworks you've used, not just the outcomes. Generic 'data engineering' language won't surface in their technical screens.
Target roles tied to live commerce metrics
Whatnot's core analytics needs revolve around real-time seller and buyer behavior on its live shopping platform. Positioning your experience around event-driven data, funnel analysis, or marketplace metrics makes your application more directly relevant than general retail analytics background.
Confirm E-3 or TN eligibility before your offer stage
If you're Australian or Canadian, Whatnot's sponsorship of E-3 and TN visas means you can bypass the H-1B lottery entirely. Nail down your visa category eligibility before you receive an offer so you can discuss timelines confidently without delaying the process.
Understand F-1 OPT STEM extension timing for this role
Analytics Engineer roles typically qualify for the 24-month STEM OPT extension. If you're on OPT, your employer must be enrolled in E-Verify, which Whatnot supports. File your STEM extension application at least 90 days before your initial OPT expires to avoid a work authorization gap.
Ask about PERM sponsorship during offer negotiation
If your goal is a Green Card, ask specifically whether Whatnot initiates PERM labor certification for this role and what the typical timeline looks like. EB-2 and EB-3 PERM filings can take one to three years before you even reach the priority date queue, so starting early matters.
Use Migrate Mate to find open Analytics Engineer roles
Whatnot posts Analytics Engineer openings across different product and data teams, and availability shifts regularly. Use Migrate Mate to filter open roles by visa type so you're only applying to positions actively open to sponsorship candidates, not wasting applications on listings that exclude international hires.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Analytics Engineers?
Yes, Whatnot sponsors H-1B visas for Analytics Engineer roles. Because H-1B approval depends on the annual lottery, candidates on OPT are often already employed at Whatnot when their employer files the H-1B petition in April. If you're not selected in the lottery, Whatnot's sponsorship of E-3 visa and TN visas offers alternative paths for eligible nationals.
How do I apply for Analytics Engineer jobs at Whatnot?
Applications go through Whatnot's careers page, where roles are listed by team and function. The interview process typically includes a technical screen covering SQL and data modeling, a take-home or live coding exercise using dbt or similar tooling, and a systems design round. Use Migrate Mate to browse currently open Analytics Engineer roles at Whatnot that explicitly support visa sponsorship.
Which visa types does Whatnot support for Analytics Engineer candidates?
Whatnot sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3 for this role. Australians and Canadians often find the E-3 and TN routes faster because they avoid the H-1B lottery. F-1 candidates in STEM fields can typically extend OPT for an additional 24 months, provided Whatnot is enrolled in E-Verify.
What qualifications does Whatnot expect for Analytics Engineer roles?
Whatnot looks for hands-on experience with dbt, a cloud data warehouse like Snowflake or BigQuery, and strong SQL skills. Familiarity with product analytics, event tracking, and building data models for a two-sided marketplace is a clear advantage given the platform's live commerce focus. A background in computer science, statistics, or a related quantitative field supports the specialty occupation standard required for H-1B and E-3 petitions.
How do I plan my timeline if I need Whatnot to file an H-1B petition?
H-1B registrations open in March each year for an October 1 start date. If you're on OPT, you'll need to be working at Whatnot before April and have your employer submit the registration on your behalf. USCIS notifies selected registrants by late March, and petitions are typically filed by June. If you're not selected, explore whether your role qualifies under E-3 or TN as a fallback.