Analytics Engineer Jobs at Whoop with Visa Sponsorship
Whoop hires Analytics Engineers to build the data infrastructure behind its wearable health and fitness platform, working across pipelines, warehousing, and product analytics. The company has a track record of sponsoring work visas for this function, making it a realistic target for international candidates with strong data engineering skills.
See All Analytics Engineer at Whoop JobsOverview
Showing 5 of 26+ Analytics Engineer Jobs at Whoop jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 26+ Analytics Engineer Jobs at Whoop
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer Jobs at Whoop.
Get Access To All Jobs
INTRODUCTION
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking an exceptional multi-disciplined Staff R&D engineer. As a key member of our Electrical Engineering team within the hardware organization, you will be working at the intersection of data and design, using advanced analytics to influence product strategy and technical decision-making. Our hardware team thrives on rapid prototyping and data-driven insights, so hands-on experimentation and a keen ability to extract meaningful conclusions from complex datasets are essential. If you're passionate about using data to shape the future of wearable technology, we want you on our team.
Responsibilities
- Advanced Development Projects: Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.
- Data-Driven System Validation: Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.
- Advanced Data Processing & Statistical Techniques: Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.
- Circuit Design & Simulation: Apply an understanding of circuit design principles and tools like SPICE for designing and validating hardware circuits in wearable technology systems.
- Prototyping & Functional Verification: Test and validate hardware prototypes for in-depth functional testing, utilizing a variety of lab equipment for debugging and analysis.
- Test Design & Failure Investigation: Define system requirements and develop test strategies, analyzing test data to ensure validation. Lead failure investigations using data to identify root causes and improve designs.
- Cross-Functional Collaboration: Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.
- Stakeholder Engagement: Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products. Up to 10% travel, both domestically and internationally.
BASIC QUALIFICATIONS
- Educational Background: BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Experience: 7+ years of experience
- Problem-Solving Expertise: Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
- Statistical Skills: Proficiency in applying advanced statistical techniques, particularly in time-series data analysis, using Python or similar tools (e.g., Minitab).
- Hands-On Engineering: Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
- Circuit Design Expertise: Solid understanding of circuit design principles
- Software & Code Management: Experience maintaining and improving live code for hardware systems, including logging, monitoring, and debugging in development environments.
LOCATION
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $165,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

INTRODUCTION
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking an exceptional multi-disciplined Staff R&D engineer. As a key member of our Electrical Engineering team within the hardware organization, you will be working at the intersection of data and design, using advanced analytics to influence product strategy and technical decision-making. Our hardware team thrives on rapid prototyping and data-driven insights, so hands-on experimentation and a keen ability to extract meaningful conclusions from complex datasets are essential. If you're passionate about using data to shape the future of wearable technology, we want you on our team.
Responsibilities
- Advanced Development Projects: Spearhead early-stage design and development of biometric wearable devices, using data analytics to guide decision-making and determine success criteria.
- Data-Driven System Validation: Design and execute system-level validation protocols, utilizing engineering fundamentals combined with statistical methods to ensure optimal performance in real-world scenarios.
- Advanced Data Processing & Statistical Techniques: Use Python and other statistical tools to process large data sets, conduct feasibility testing, and inform engineering design decisions.
- Circuit Design & Simulation: Apply an understanding of circuit design principles and tools like SPICE for designing and validating hardware circuits in wearable technology systems.
- Prototyping & Functional Verification: Test and validate hardware prototypes for in-depth functional testing, utilizing a variety of lab equipment for debugging and analysis.
- Test Design & Failure Investigation: Define system requirements and develop test strategies, analyzing test data to ensure validation. Lead failure investigations using data to identify root causes and improve designs.
- Cross-Functional Collaboration: Partner with teams across hardware, software, data science, and product to shape development strategies, ensuring data insights drive both technical and strategic decisions.
- Stakeholder Engagement: Collaborate with external partners, suppliers, and contract manufacturers to ensure successful development and scale-up of products. Up to 10% travel, both domestically and internationally.
BASIC QUALIFICATIONS
- Educational Background: BS or higher in Electrical Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Experience: 7+ years of experience
- Problem-Solving Expertise: Strong ability to apply data analytics to solve complex engineering challenges and propose creative, data-driven solutions.
- Statistical Skills: Proficiency in applying advanced statistical techniques, particularly in time-series data analysis, using Python or similar tools (e.g., Minitab).
- Hands-On Engineering: Experience with hardware prototyping and debugging, utilizing lab equipment such as oscilloscopes, multimeters, and impedance analyzers.
- Circuit Design Expertise: Solid understanding of circuit design principles
- Software & Code Management: Experience maintaining and improving live code for hardware systems, including logging, monitoring, and debugging in development environments.
LOCATION
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $165,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
See all 26+ Analytics Engineer at Whoop jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer at Whoop roles.
Get Access To All JobsTips for Finding Analytics Engineer Jobs at Whoop Jobs
Frame your portfolio around health data systems
Whoop's analytics work centers on biometric and wearable sensor data. Before applying, make sure your portfolio demonstrates experience with time-series data, high-volume pipelines, or health and fitness metrics rather than generic business intelligence projects.
Align your start date with OPT cap-gap timing
If you're on F-1 OPT and your H-1B is selected in the lottery, the cap-gap rule extends your work authorization through September 30. Coordinate your offer start date and any onboarding timeline with this window to avoid gaps in your employment eligibility.
Target Whoop's data platform and infrastructure teams
Whoop's Analytics Engineer openings tend to sit within data platform or product analytics functions. Filtering job listings by these team signals rather than job title alone surfaces roles where sponsorship is most actively used for this function.
Browse sponsored Analytics Engineer roles using Migrate Mate
Search Migrate Mate to filter Analytics Engineer openings at Whoop by visa type. This lets you see which specific roles align with your work authorization status before you invest time in applying or preparing for screening calls.
Request the LCA filing timeline before accepting an offer
Before signing, ask Whoop's recruiting or HR team when they plan to file the Labor Condition Application with DOL. The LCA must be certified before USCIS can process your H-1B petition, and delays here directly affect your start date.
Analytics Engineer at Whoop jobs are hiring across the US. Find yours.
Find Analytics Engineer at Whoop JobsFrequently Asked Questions
Does Whoop sponsor H-1B visas for Analytics Engineers?
Yes, Whoop sponsors H-1B visas for Analytics Engineer roles. The company has an established pattern of supporting work authorization for technical hires in this function. If you're subject to the H-1B cap, your employer will need to submit a registration during the annual lottery window, typically in March, with an October 1 start date if selected.
Which visa types does Whoop commonly use for Analytics Engineers?
Whoop sponsors H-1B, F-1 OPT, F-1 CPT, and TN visas for Analytics Engineer positions. F-1 OPT is common for recent graduates entering the role, while H-1B is the standard long-term path. TN is available to Canadian and Mexican nationals in qualifying technical occupations. The right fit depends on your nationality, education, and where you are in the hiring timeline.
How do I apply for Analytics Engineer jobs at Whoop?
Applications for Analytics Engineer roles at Whoop go through their careers page. You can also use Migrate Mate to browse current openings filtered by visa sponsorship type, which helps you confirm a role supports your specific work authorization before applying. Whoop's technical hiring process typically includes a take-home or live coding assessment focused on SQL, dbt, or data modeling.
What qualifications does Whoop expect for Analytics Engineer roles?
Whoop typically looks for proficiency in SQL, dbt, and a cloud data warehouse such as Snowflake or BigQuery. Experience working with product or behavioral data is a strong signal given the nature of their platform. A degree in computer science, statistics, or a related quantitative field is expected, and experience with health or wearable data is a differentiator.
How do I plan my timeline when applying for a sponsored Analytics Engineer role at Whoop?
If you need H-1B sponsorship, build your job search around the USCIS registration window in March. Offers typically need to be in place before registration opens so your employer can file on your behalf. If you're on OPT with limited time remaining, confirm with Whoop's HR team that they can complete LCA certification and petition filing before your authorization expires.
See which Analytics Engineer at Whoop employers are hiring and sponsoring visas right now.
Search Analytics Engineer at Whoop Jobs