Senior Data Analyst, OnStar Product Engagement

Job Description The Role The Senior Data Analyst turns complex data into clear insights that improve business decisions. This role partners with stakeholders to clarify business questions, identify the right data sources, analyze performance drivers, and translate findings into practical recommendations. Using SQL, Databricks, Python, visualization tools, and strong business judgment, the Senior Data Analyst builds trusted reporting, monitors KPIs, investigates trends and root causes, and helps business teams act with greater speed and confidence. What You’ll Do Analyze large, complex datasets to identify trends, anomalies, risks, opportunities, and performance drivers that inform business decisions. Translate ambiguous business questions into structured analytical plans, including hypotheses, KPI definitions, data requirements, and success measures. Use advanced SQL and Data Bricks to query, join, transform, validate, and reconcile data across multiple sources and business systems. Leverage Databricks, Python, and similar analytics platforms to perform data wrangling, automate repeatable analyses, and support scalable performance measurement. Investigate unexpected metric movements, data quality issues, and reporting discrepancies by validating source logic, transformations, and assumptions. Build dashboards, reports, scorecards, and self-service analytics tools that make KPIs, trends, and business performance easy to understand and act on. Apply data visualization and storytelling best practices to create clear executive summaries, intuitive dashboards, and actionable insight narratives. Partner with business stakeholders to clarify goals, decision needs, pain points, and priorities, then translate them into practical analytics solutions. Collaborate with data engineering and platform teams to define source data requirements, transformation logic, semantic model needs, and data quality expectations. Communicate findings to technical and non-technical audiences wit