Senior Analyst, Data & Analytics (SQL, Power BI, Healthcare Analytics, Data Visualization, Reporting & Insights)- REMOTE EST

JOB DESCRIPTION

Job Summary

Provides senior level analysis for complex data to generate insights that support strategic and operational decision-making. This role designs and delivers reporting, analytics, and data solutions across business and healthcare domains, including claims, utilization, and financial data. Partners with stakeholders to define requirements, develops scalable reporting and data processes, and applies advanced analytical techniques to identify trends, forecast outcomes, and drive business performance. This role may lead projects, ensure data quality, and contribute to process improvements and standardization.

Job Duties

• Analyzes complex datasets from multiple sources to identify trends, patterns, risks, and opportunities. 
• Designs, develop, and maintain reports, dashboards, and data solutions using tools such as Structured Query Language (SQL), Microsoft Excel, and Power BI. 
• Translates business needs into reporting and analytical requirements; partner with stakeholders to deliver actionable insights. 
• Performs healthcare data analysis, including claims, pharmacy, lab, utilization, and cost data. 
• 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. 
• Leads or supports projects, including timeline management, requirements gathering, and deliverable execution.
• Documents methodologies, reporting processes, and business requirements. 
• Identifies and drives process improvements, standardization, and automation opportunities. 
• Presents findings and recommendations to leadership and cross-functional teams. 
• Supports regulatory, audit, and ad hoc data requests as needed.

Job Qualifications

REQUIRED QUALIFICATIONS:

• Bachelor's Degree in Finance, Economics, Math, Business Administration, Information Systems or related field, or equivalent combination of education and experience.
• At least 4 years of experience in data analysis, reporting, or analytics, or equivalent combination of relevant education and experience. 
• Experience with Structured Query Language (SQL), relational databases, and Microsoft Excel.
• Experience developing dashboards and reporting solutions using modern business intelligence and data visualization platforms (e.g., Power BI, Tableau)
• Experience translating complex business questions into analytical solutions and actionable insights.
• Demonstrated ability to manage multiple priorities and deliver on deadlines 
• Advanced Data Analysis & Critical Thinking 
• Data Quality & Governance 
• Stakeholder Communication & Influence 
• Problem Solving & Continuous Improvement

PREFERRED QUALIFICATIONS:

• Experience with healthcare analytics (e.g., claims, utilization, cost containment, medical economics).
• Demonstrated experience analyzing healthcare claims data, reimbursement methodologies, and healthcare data structure.
• Experience with Power BI semantic models, DAX, or self-service analytics.
• Experience working in cloud-based analytics platforms such as Databricks, Snowflake, Synapse, or equivalent enterprise environments.
• Experience using Python to support healthcare analytics, data quality validation, process automation, or ad hoc analytical projects.
• Knowledge of statistical methods, predictive modeling, or forecasting techniques. 
• Experience leading projects or mentoring junior analysts.
• Familiarity with regulatory reporting and healthcare industry requirements.
   

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: $59,810 - $129,589 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.