Business Analyst II, Operations
About The Position
At WHOOP, we're on a mission to unlock human performance and healthspan. Our wearable technology provides personalized insights that help millions of members better understand their bodies, and make smarter decisions about training, recovery, and lifestyle. We're looking for a Business Analyst to embed with our Operations team, specifically supporting the Manufacturing & Quality streams by helping bridge the gap between operational processes and data. This role will be instrumental in building out quality analytics capabilities across the product lifecycle, from production through field performance. You'll own key quality metrics, develop new reporting, build new tools, and partner with manufacturing and field quality engineers to turn operational data into decisions. This is a high-impact role for someone who is able to successfully use analytical skills to target operational challenges and drive continuous improvement.
Requirements
- 2+ years of experience in an analytical or operational role with a focus on data and analytics.
- Demonstrated experience working with cross-functional partners to use data to drive results and initiatives.
- Strong technical and analytical skills, including proficiency in SQL and familiarity with data visualization tools (e.g., Sigma, Hex, or similar).
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
- Ability to translate complex analyses into clear, actionable recommendations, enabling technical and operational stakeholders to make informed decisions and drive measurable improvements.
- Comfortable operating in evolving environments where processes, systems, and data structures are still being built and refined.
- Proactive mindset with a desire to deeply understand operational processes and continuously improve them through data.
Nice To Haves
- Functional experience working with quality processes and data is a plus.
- Familiarity with modern data warehouses (e.g., Snowflake) and analytics workflows (e.g., dbt, ELT) is a plus.
Responsibilities
- Partner with Field Quality, Manufacturing, and Reliability Engineering teams to define and monitor product quality KPIs across the supply chain
- Own quality metrics reporting on production yields, field failure rates, supplier quality indicators to proactively surface trends related to product build and performance
- Develop and maintain reporting and self-service analytics tooling for operations stakeholders
- Support ad-hoc analyses for test result validation, issue containment & impact sizing, failure mode investigations, cost quantification
- Collaborate with Data Platform and Analytics Engineering to land new relevant quality data sources in Snowflake and build them into usable models
- Help define data capture standards for new processes (e.g., incoming inspection, NPI qualification, supplier data) where structured data doesn't exist today
- Translate between technical data requirements and operational stakeholders, ensuring operations teams get answers without needing to have detailed technical background
Benefits
- meaningful equity
- generous equity package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
