Senior Data Analytics Lead: SQL, Python & Power BI

Imperial Health Plan of California, Inc.; Pasadena (CA); On-site; USD 90,000 - 110,000; Full time

Job summary

Imperial Health Plan of California, Inc. seeks a Senior Data Analyst to lead complex data analytics, reporting, and BI initiatives in a data-driven health plan environment.

You will develop advanced Power BI dashboards, architect data models, and drive migration efforts to Databricks while mentoring junior analysts. The role requires strong SQL, Python, and data quality focus, with collaboration across IT, clinical, and business stakeholders to deliver actionable insights that improve

Qualifications

• Bachelor's degree in CS, Data Analytics, or a related quantitative field.
• Minimum three years of professional data analytics, reporting, or BI experience.
• At least three years of SQL experience in a professional environment.
• Experience leading analytics projects and coordinating stakeholders.
• Strong knowledge of SQL, Python, Power BI, and data validation.

Responsibilities

• Lead complex data analytics, reporting, and BI initiatives.
• Develop and maintain Power BI dashboards and semantic models.
• Design and implement data transformations and analytical workflows.
• Coordinate cross-functional teams for migration to Databricks.
• Mentor analysts and ensure data quality across projects.
• Translate analytical findings into actionable recommendations.

Skills

Advanced SQL

Python

Power BI

Databricks

Data governance

Project management

Stakeholder management

Education

Bachelor's degree in Computer Science, Data Analytics, or related field

Master's degree in Data Science or related field

Tools

SAS

R

Job description

Imperial Health Plan of California, Inc. seeks a Senior Data Analyst to lead complex data analytics, reporting, and BI initiatives in a data-driven health plan environment.

You will develop advanced Power BI dashboards, architect data models, and drive migration efforts to Databricks while mentoring junior analysts. The role requires strong SQL, Python, and data quality focus, with collaboration across IT, clinical, and business stakeholders to deliver actionable insights that improve