Senior Data Analytics Lead — Azure Databricks & Power BI

Molina Healthcare; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Molina Healthcare seeks a Lead Data Analyst to design and optimize advanced data analytics solutions that support strategic decisions. You will partner with business, technology, and leadership teams to translate complex data into actionable insights and lead by influence while remaining hands-on with data architecture, analytics, and reporting.

This role is hands-on and requires collaboration with business and technology teams.

Qualifications

• Bachelor’s degree preferred in a quantitative field.
• 7–9 years of progressive experience in data analytics or data engineering.
• Experience delivering analytics solutions from concept through production.

Responsibilities

• Design, develop, and maintain scalable data analytics solutions using Azure Databricks and related platforms.
• Lead data compilation, transformation, integration, and validation from multiple data sources.
• Apply advanced statistical and analytical techniques to identify trends and opportunities.
• Develop dashboards, reports, and analytical models using Power BI and Databricks AI/BI dashboards.
• Define data standards, governance, and data quality processes.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Establish processes for monitoring and trending data across systems.
• Provide peer review and technical guidance on analytics and data modeling.
• Support leadership with ad-hoc analyses and strategic insights.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Azure Databricks

Power BI

PySpark

Python

SQL

Scala

Data modeling

Data mapping

Large-scale data processing

Dashboards and reporting

GitHub

DevOps

CI/CD pipelines

Education

Bachelor’s degree

Tools

GitHub

DevOps

CI/CD pipelines

Job description

Molina Healthcare seeks a Lead Data Analyst to design and optimize advanced data analytics solutions that support strategic decisions. You will partner with business, technology, and leadership teams to translate complex data into actionable insights and lead by influence while remaining hands-on with data architecture, analytics, and reporting.

This role is hands-on and requires collaboration with business and technology teams.