Senior Data Analyst

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data & Analytics Full Time Pasadena, CA, US

3 days ago Requisition

Salary Range: $90,000.00 To $ Annually

The Senior Analyst, Data Analytics is an experienced individual contributor responsible for leading complex data, reporting, business intelligence, and analytics initiatives that support operational, financial, regulatory, clinical, compliance, and strategic decision-making across Imperial Health Plan. The Senior Analyst serves as a technical and analytical subject-matter resource, independently manages high-impact assignments, and leads projects from requirements definition through implementation, validation, stakeholder adoption, and ongoing support.

This position partners directly with department leaders, business owners, subject-matter experts, Information Technology, and other cross-functional stakeholders to define business problems, develop analytical strategies, determine appropriate data and technical approaches, and translate findings into actionable recommendations. The Senior Analyst is expected to exercise a high degree of independent judgment, manage multiple priorities, identify and mitigate project risks, and provide guidance or mentoring to Analysts and other team members.

The role requires advanced hands-on experience with traditional relational SQL environments and practical experience with Databricks or a comparable cloud/lakehouse platform to support Imperial’s planned migration. Advanced proficiency in SQL, Python, and Power BI is required. SAS, R, statistical analysis, and healthcare payer or managed-care data experience are highly valued.

• Lead consultations with business owners, department leaders, and subject-matter experts to define complex business, reporting, and analytical needs.
• Translate broad, ambiguous, or cross-functional business questions into structured analytical requirements, technical specifications, success measures, and implementation plans.
• Independently evaluate alternative analytical approaches and recommend solutions based on business impact, data availability, technical feasibility, risk, scalability, and organizational priorities.
• Serve as an analytical consultant to stakeholders by interpreting findings, identifying implications, and recommending actions rather than only delivering data.
• Identify conflicting requirements, data limitations, operational risks, and dependencies and facilitate resolution with appropriate stakeholders.
• Develop analysis plans, outcome measures, and methodologies that support informed business decisions and measurable improvement.

• Design, develop, optimize, and maintain complex SQL queries, data transformations, reporting logic, analytical workflows, and reusable data assets.
• Develop and support solutions in the current relational SQL/database environment and apply Databricks or comparable cloud/lakehouse expertise as the planned platform migration is implemented. Use Python for advanced data preparation, automation, validation, workflow development, and analytical processing.
• Develop and refine analytical or statistical models, metrics, and algorithms as appropriate to the business need; test, validate, and document results.
• Perform complex data wrangling, profiling, cleansing, integration, reconciliation, and root-cause analysis across multiple enterprise data sources.
• Evaluate data architecture, source-system behavior, and downstream dependencies when designing or modifying analytical solutions.
• A…