Lead Analyst, Data & Analytics (Azure Databricks)
United States
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and maintain scalable analytics solutions on Azure Databricks
Compile, transform, and validate data from structured and unstructured sources
Build dashboards, reports, and analytical models in Power BI and Databricks
Define data standards and governance processes for quality and consistency
Gather requirements from stakeholders and turn them into technical solutions
From the employer’s posting
Design, develop, and maintain scalable data analytics solutions using Azure Databricks
Lead data compilation, transformation, integration, and validation from multiple structured and unstructured data sources.
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.
What you’ll bring
All qualificationsPreferred experience
- Experience working in large enterprise data environments.
Qualification wording
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.
Education & alternatives
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
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Power BI
- PySpark
Source — Tool mentions in context
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
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
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Sep 1, 2026 · 51 days ago
- Recorded sightings
- 321
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Source details
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- Location & working pattern
United States
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