Data Analytics Engineer Jobs at Whatnot with Visa Sponsorship
Data Analytics Engineer jobs at Whatnot power its live commerce and marketplace platform, working with large-scale transaction and behavioral data. The company has a track record of sponsoring international talent across multiple visa categories, making it a realistic target for work-authorized job seekers in data.
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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 Analytics Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Whatnot
Frame your portfolio around commerce data
Whatnot operates a live-shopping marketplace, so projects involving real-time event pipelines, seller behavior analysis, or transaction data will resonate far more than generic BI work. Tailor your portfolio before applying.
Clarify your visa status early in screening
Whatnot sponsors several visa categories, but not every recruiter knows which apply to your situation. State your status and what sponsorship you need in your first message so the right hiring stakeholder is looped in from the start.
Target roles requiring dbt and warehouse-native tooling
Whatnot's data stack leans on modern analytics engineering patterns. Job listings referencing dbt, BigQuery, or Snowflake signal active teams where a Data Analytics Engineer with those tools will move faster through technical screens.
Understand PERM timing before accepting an offer
If Green Card sponsorship is part of your long-term plan, ask during the offer stage whether Whatnot initiates PERM for this role level. DOL's PERM process can take 12 to 18 months, and starting the conversation late creates unnecessary gaps.
Prepare credential equivalency documentation in advance
H-1B specialty occupation approval requires your degree to align directly with the Data Analytics Engineer role. If your degree is from outside the U.S., have a credential evaluation from a NACES-approved service ready before USCIS petition filing begins.
Use Migrate Mate to find open Data Analytics Engineer roles at Whatnot
Filtering by visa type and employer on Migrate Mate lets you confirm which roles at Whatnot are currently open to sponsored candidates, saving you time on applications that won't go anywhere due to sponsorship eligibility.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Data Analytics Engineers?
Yes, Whatnot sponsors H-1B visas for Data Analytics Engineers. The role qualifies as a specialty occupation under USCIS guidelines because it requires a bachelor's degree or higher in a directly related field such as computer science, statistics, or information systems. If you're already in H-1B status with another employer, Whatnot can file an H-1B transfer, letting you start work as soon as USCIS receives the petition.
How do I apply for Data Analytics Engineer jobs at Whatnot?
You can find and apply for Data Analytics Engineer openings at Whatnot through Migrate Mate, which filters roles by sponsorship eligibility so you can confirm the position is open to your visa type before applying. When you apply, highlight experience with large-scale data pipelines and analytics engineering tools. Expect a technical screen focused on SQL, data modeling, and your approach to working with transactional or behavioral datasets.
Which visa types does Whatnot typically sponsor for Data Analytics Engineer roles?
Whatnot sponsors several visa categories for this role, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current students and recent graduates, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, education level, and where you are in your career. Confirming which applies to your situation before the offer stage saves significant back-and-forth.
What qualifications does Whatnot expect for a Data Analytics Engineer?
Whatnot generally expects a bachelor's degree in a quantitative field such as computer science, mathematics, or data engineering, combined with hands-on experience building and maintaining data models in a production environment. Proficiency with SQL and a modern transformation tool like dbt is common across postings. Given Whatnot's marketplace context, experience with event-level data, funnel analysis, or seller and buyer behavior data is a meaningful differentiator in the interview process.
How do I time my application around the H-1B cap and OPT expiration?
If you're on F-1 OPT, the H-1B cap-subject filing window opens April 1 each year for an October 1 start date. USCIS registration typically runs in March. If your OPT expires before October 1, a timely H-1B filing with a receipt notice keeps you in authorized status through the cap-gap period. Starting the conversation with Whatnot's recruiting team well before March gives the employer time to prepare the petition without rushing.