Job Description
Position Overview
The Lead Data Analyst plays a critical role in designing, implementing, and optimizing advanced data analytics solutions to support strategic and operational decision-making. This role partners closely with business, technology, and leadership teams to translate complex data into actionable insights. The position requires strong technical expertise, analytical thinking, and the ability to lead by influence while remaining hands-on with data architecture, analytics, and reporting solutions.
This role is hands-on and requires close collaboration with business and technology teams. The Lead Data Analyst is expected to balance strategic thinking with detailed execution, contribute to architectural decisions, and ensure analytics solutions align with enterprise standards and long-term business objectives.
Key Responsibilities
• Design, develop, and maintain scalable data analytics solutions using Azure Databricks and related enterprise platforms.
• Lead data compilation, transformation, integration, and validation from multiple structured and unstructured data sources.
• Apply advanced statistical, quantitative, and analytical techniques to identify trends, patterns, and opportunities.
• Develop dashboards, reports, and analytical models using Power BI and Databricks AI/BI dashboards.
• Define and implement data standards, best practices, and governance processes to ensure data quality and consistency.
• Collaborate with cross-functional stakeholders to gather requirements and translate business needs into technical solutions.
• Establish processes for monitoring, tracking, and trending data across systems and applications.
• Provide peer review and technical guidance on analytics, programming logic, and data modeling.
• Support leadership and team members with ad-hoc analysis and strategic insights.
• Communicate findings clearly to technical and non-technical audiences.
Technical Skills and Expertise
• Experience with Azure Databricks, Power BI, GitHub, DevOps, and CI/CD pipelines.
• Proficiency in PySpark, Python, SQL, and Scala for data engineering, automation, and analytics.
• Expertise in data modeling, data mapping, and large-scale data processing.
• Experience developing enterprise-grade dashboards and reporting solutions.
• Knowledge of cloud-based data architectures and modern analytics platforms.
Business and Domain Knowledge
• Strong understanding of healthcare data domains, data mapping, and regulatory considerations.
• Ability to translate business problems into data-driven solutions.
• Experience working with stakeholders across multiple organizational levels.
Education and Experience Requirements
• Bachelor’s degree preferred.
• 7–9 years of progressive experience in data analytics, data engineering, or related roles.
• Demonstrated experience delivering analytics solutions from concept through production.
Preferred Qualifications
• Experience working in large enterprise data environments.
• Familiarity with healthcare analytics and reporting standards.
• Strong problem-solving skills and attention to detail.
• Excellent written and verbal communication skills.
To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Skills Required
- Experience with Azure Databricks
- Experience with Power BI
- Experience with GitHub, DevOps, and CI/CD pipelines
- Proficiency in PySpark, Python, SQL, and Scala
- Expertise in data modeling, data mapping, and large-scale data processing
- Experience developing enterprise-grade dashboards and reporting solutions
- Knowledge of cloud-based data architectures and modern analytics platforms
- Strong understanding of healthcare data domains, data mapping, and regulatory considerations
- Bachelor's degree
- 7-9 years of progressive experience in data analytics, data engineering, or related roles
- Demonstrated experience delivering analytics solutions from concept through production
- Experience working in large enterprise data environments
- Familiarity with healthcare analytics and reporting standards
- Strong problem-solving skills and attention to detail
- Excellent written and verbal communication skills
Molina Healthcare Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Molina Healthcare Inc. and has not been reviewed or approved by Molina Healthcare Inc..
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Healthcare Strength — Health coverage is described as solid, including medical, dental, and vision insurance alongside options like HSA/FSA and disability coverage. Benefits are often seen as a meaningful part of the overall package.
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Retirement Support — A 401(k) with employer matching and an ESPP are offered, and the retirement plan is commonly regarded as a plus. These features help round out compensation even when base pay is seen as only acceptable.
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Leave & Time Off Breadth — PTO, paid holidays, and paid parental leave are part of the offering, with time‑off benefits generally viewed favorably. Backup family care and an employee assistance program add practical support.
Molina Healthcare Inc. Insights
What We Do
Molina Healthcare Inc. is dedicated to delivering effective, reliable, and affordable health care to those who need it most. The company focuses on improving the health and well-being of its members and positively impacting the communities it serves. Recognized as a leader in the health insurance category, it provides essential healthcare services to ensure accessible and quality care for its members.
