Senior Data Analyst

In Engineering, this hands-on individual-contributor role analyzes vehicle telemetry and user behavior to guide product improvement. It works with the Analytics Product Manager and Product and Engineering teams, using a centrally governed, pseudonymized, preprocessed Snowflake silver layer. The analyst frames business questions, builds shared intermediate and analysis-ready models and dashboards, and maintains data quality checks, documentation and a data catalog. The work includes evaluating what data can answer, applying statistical and experimental-design principles, and turning findings into recommendations that distinguish meaningful effects from noise. Applicants need 5+ years in data analysis or product analytics, experience investigating high-volume, evolving, imperfect datasets, and the ability to define hypotheses and metrics. Requirements also include advanced SQL; Python or R; hands-on analytical modeling with dimensional/Kimball, One Big Table or another approach using dbt or equivalent; product analytics with event-based tools; BI skills; clear communication with technical and non-technical stakeholders; and comfort with git, code review and continuous delivery.