[Remote] Senior Analyst, Data & Analytics (Pharmacy Analytics & Reporting) - REMOTE

Note: The job is a remote job and is open to candidates in USA. Molina Healthcare is seeking a Senior Analyst to support data analysis and reporting activities across healthcare and business domains. The role develops reports, dashboards, forecasts, and data solutions; analyzes claims, pharmacy, utilization, cost, and performance data; and partners with stakeholders on regulatory reporting, process improvements, and strategic decision-making.

Responsibilities

• Analyzes complex datasets from multiple sources to identify trends, patterns, risks, and opportunities
• Designs, develops, and maintains 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
• Translates business needs into reporting and analytical requirements; partners with stakeholders to deliver actionable insights
• Facilitates healthcare data analysis, including data related to claims, pharmacy, lab, utilization, cost, and other areas
• Develops and maintains data processes for extraction, transformation, validation, and integration
• 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 and analysis into clear summaries and recommendations for business stakeholders
• 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 or supports projects, including timeline management, requirements gathering, and deliverable execution
• Presents findings and recommendations to leadership and cross-functional teams
• Supports regulatory, audit, and ad hoc data requests as needed
• Provides training and support to new and existing data analysis team members

Skills

• At least 4 years of experience in data analysis, reporting, or healthcare analytics, or equivalent combination of relevant education and experience
• Analytical problem-solving skills, including ability to interpret complex datasets, identify patterns, and translate findings into actionable insights
• Technical proficiency with SQL, Excel, and reporting/analytics tools, and ability to learn new technologies quickly
• Experience with healthcare analytics (e.g., claims, utilization, cost containment, medical economics)
• Experience working with complex datasets/provision of data analysis and insights
• Experience with healthcare utilization metrics, medical cost analysis, and performance indicators
• 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 clarify requirements and present data-related findings and solutions
• Microsoft Office suite and applicable software programs proficiency
• Pharmacy claims reporting experience and understanding highly preferred
• Proven ability to explain complex data challenges, impacts, and solutions to non-technical business partners
• Experience developing and delivering regulatory reporting and healthcare payer systems (e.g., PBM claim files and pharmacy formulary data)
• Experience with SQL Server Reporting Services (SSRS), MedInsight, Power BI, relational databases or similar tools
• Familiarity with cloud data platforms (e.g., Azure data lakes) and business intelligence (BI) tools
• Familiarity with predictive modeling concepts and trend forecasting

Company Overview

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