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

Molina Healthcare•United States,

2h•$59,810 - $129,589•Remote

About The Position

Provides senior-level analyst support for data analysis and reporting activities. The role organizes data from multiple sources to produce reports, dashboards, and analyses related to utilization, cost containment, and business performance. It generates data-related insights to support strategic and operational decision-making and cost containment. The position designs and delivers reporting, analytics, and data solutions across business and healthcare domains, including claims, utilization, finance, and other business areas. It 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. The role also supports projects, regulatory requests, and initiatives that improve data quality, reporting workflows, and process efficiencies.

Requirements

At least 4 years of experience in data analysis, reporting, or healthcare analytics, or an equivalent combination of relevant education and experience.
Analytical problem-solving skills, including the ability to interpret complex datasets, identify patterns, and translate findings into actionable insights.
Technical proficiency with SQL, Excel, and reporting or analytics tools, with the ability to learn new technologies quickly.
Experience with healthcare analytics, such as claims, utilization, cost containment, or medical economics.
Experience working with complex datasets and providing data analysis and insights.
Experience with healthcare utilization metrics, medical cost analysis, and performance indicators.
Attention to detail and 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 the ability to collaborate with cross-functional teams to clarify requirements and present data-related findings and solutions.
Proficiency with the Microsoft Office suite and applicable software programs.

Nice To Haves

Pharmacy claims reporting experience and understanding.
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, such as PBM claim files and pharmacy formulary data.
Experience with SSRS, MedInsight, Power BI, relational databases, or similar tools.
Familiarity with cloud data platforms, such as Azure data lakes, and business intelligence tools.
Familiarity with predictive modeling concepts and trend forecasting.

Responsibilities

Analyze complex datasets from multiple sources to identify trends, patterns, risks, and opportunities.
Design, develop, and maintain reports, dashboards, and data solutions using SQL, Microsoft Excel, and SSRS to support utilization analysis, cost containment, and operational performance.
Translate business needs into reporting and analytical requirements and partner with stakeholders to deliver actionable insights.
Facilitate healthcare data analysis involving claims, pharmacy, lab, utilization, cost, and other areas.
Develop and maintain processes for data extraction, transformation, validation, and integration.
Ensure data accuracy, integrity, and consistency through quality assurance and validation processes.
Create forecasts, models, and recommendations based on statistical analysis and business context.
Organize, document, and maintain datasets and reporting workflows across multiple business areas.
Consolidate research and analysis into clear summaries and recommendations for business stakeholders.
Support regulatory, contractual, and enterprise reporting requirements, including state-mandated submissions.
Identify and implement enhancements or fixes to existing reports and reporting processes.
Collaborate with cross-functional teams to define reporting requirements and maintain project and report timelines.
Document methodologies, reporting processes, and business requirements.
Identify and drive process improvements, standardization, and automation opportunities.
Lead or support projects, including timeline management, requirements gathering, and deliverable execution.
Present findings and recommendations to leadership and cross-functional teams.
Support regulatory, audit, and ad hoc data requests as needed.
Provide training and support to new and existing data analysis team members.