Lead Analyst, Data & Analytics (Provider Network - FL)

JOB DESCRIPTION Job Summary

Provides lead level analyst support for data analysis and reporting activities.  Responsible for organizing data from multiple sources to produce reports, dashboards, and analyses related to utilization, cost-containment, and business performance.  Generates data-related insights that support strategic and operational decision-making and cost-containment.  Designs and delivers reporting, analytics, and data solutions across business and healthcare domains, including claims, utilization, finance, and other business areas.  Partners with stakeholders to define requirements, develop scalable reporting and data processes, and apply advanced analytical techniques to identify trends, forecast outcomes, and drive business performance.  Supports projects, regulatory requests, and initiatives that improve data quality, reporting workflows, and process efficiencies.

 

Essential Job Duties

• Leads the design, development, and maintenance of reports, dashboards, and data solutions using tools such as Structured Query Language (SQL), Microsoft Excel, and SQL Server Reporting Services (SSRS), that support utilization analysis, cost-containment, and operational performance.
• Analyzes complex datasets from multiple sources to identify trends, patterns, risks, and opportunities. 
• Translates business needs into reporting and analytical requirements; partners with stakeholders to deliver actionable insights. 
• Oversees data processes including extraction, transformation, integration, validation, and quality assurance. 
• Facilitates complex healthcare data analysis, including data related to claims, pharmacy, lab, utilization, cost, and other areas. 
• Develops and maintains database objects such as queries, views, functions and stored procedures.
• Establishes and documents reporting standards, processes, and best practices. 
• Ensures data accuracy, integrity, and consistency through quality assurance and validation processes. 
• Creates forecasts, models, and recommendations based on statistical analysis and business context. 
• Organizes, documents, and maintains datasets and reporting workflows across multiple business areas.
• Consolidates research, analysis, and insights into clear summaries and recommendations for business leaders and stakeholders.
• Drives process improvements, automation, and standardization across reporting and analytics functions.
• Supports regulatory, contractual, and enterprise reporting requirements, including state mandated submissions.
• Identifies and implements enhancements or fixes to existing reports and reporting processes.
• Collaborates with cross-functional teams to define reporting requirements and maintain project/report timelines.
• Documents methodologies, reporting processes, and business requirements. 
• Identifies and drives process improvements, standardization, and automation opportunities. 
• Leads and manages projects, including timeline management, requirements gathering, and high quality deliverable execution.
• Builds and maintains strong cross-functional relationships to influence data-driven decision-making.
• Supports regulatory, audit, and ad hoc data requests as needed.
• Facilitates peer reviews to ensure alignment with quality standards.
• Provides training, mentoring and support to new and existing data analysis team members.
 

Required Qualifications

• At least 6 years of experience in data analysis, reporting, or healthcare analytics, or equivalent combination of relevant education and experience. 
• Bachelor's degree in finance, economics, math, business administration, information systems or a related field.
• Analytical problem-solving skills, including ability to interpret complex datasets, identify patterns, and translate findings into actionable insights.
• Advanced technical proficiency with Structured Query Language (SQL), relational databases, Power BI, Excel and reporting/analytics tools including SQL Server Reporting Services (SSRS), and ability to learn new technologies quickly.
• Experience with healthcare analytics (e.g., claims, utilization, cost containment, medical economics).
• Advanced experience working with complex datasets/provision of data analysis and insights.
• Experience with healthcare utilization metrics, medical cost analysis, and performance indicators.
• Experience with predictive modeling concepts and trend forecasting.
• Process improvement and automation experience.
• Project management experience and experience providing functional guidance.
• Demonstrated ability to manage multiple priorities and deliver results in a fast-paced environment.
• Strong attention to detail, accuracy in data validation, report development, and documentation.
• Ability to work cross-functionally across a highly matrixed organization.  
• Effective verbal, written, and interpersonal communication skills, and ability to collaborate with cross-functional teams to define requirements/business needs and present data-related findings and solutions.
• Microsoft Office suite and applicable software programs proficiency.
 

Preferred Qualifications

• Experience with Extract, Transform, Load (ETL) tools such as SQL Server Integration Services (SSIS) and data warehousing concepts. 
• Familiarity with cloud data platforms (e.g., Azure data lakes) and business intelligence (BI) tools.
• Experience supporting regulatory reporting and healthcare payer systems (e.g., QNXT or similar platforms).
•  Experience with customer relationship management (CRM) systems (e.g., Salesforce). 
• Managed care and/or Medicaid experience. 
• Experience supporting regulatory or encounter reporting.
• Microsoft certification or similar technical credentials.
 

 

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

Pay Range: $73,102 - $142,549 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.