Data Analyst

Overview

About MPOWERHealth:

For over a decade, MPOWERHealth has supported the independent musculoskeletal physician with best-in-class clinical services, back-office solutions, and advanced technology. We pride ourselves on being a partner that offers foresight to customers. We simplify what’s complex, and we help them find a better way. Our best-in-class analytics coupled with industry-leading expertise make MPOWERHealth the company our customers can rely on no matter what lies ahead.

The Data Analyst will perform advanced analysis of healthcare-financial data and provide insights into the health of the business. This requires strong analytical skills and a passion for uncovering information hidden in complex datasets. This is a technical, detail-oriented role focused on analyzing healthcare claims and financial data, in order to guide operations, billing, and strategic decisions. The optimal candidate will have a few years of experience in this area and would have provided solutions based on true data-driven insights.

ROLE AND RESPONSIBILITIES:

• Analyze healthcare claims, collections, and billing data to show performance trends, inefficiencies, and opportunities
• Apply advanced statistical techniques to understand past performance, explore root causes, and identify areas of improvement
• Build, train, and validate predictive models that forecast outcomes, support decision-making and provide actionable recommendations
• Define business metrics and KPIs that align with financial and operational goals
• Translate business requirements into data models and analysis-plans
• Build and automate reports, machine learning models, and data visualizations
• Design and maintain Power BI dashboards and reports for stakeholders
• Identify data quality issues, gaps, or inconsistencies and recommend solutions
• Document metrics, definitions, data sources, and reporting processes
• Support user acceptance testing and stakeholder training for new reports or models
• Collaborate with offshore and onshore developers and data teams
• Coordinate cross-functional data analysis projects and maintain high-quality standards for deliverables

MINIMUM QUALIFICATIONS AND REQUIREMENTS:

• 3+ years analyzing data and writing queries in SQL Server
• 2+ years doing advanced statistical analysis using Python or similar tool
• 1+ years working with financial data, preferably associated with Healthcare Claims and Revenue Cycle
• 1+ years building reports and dashboards in Power
  
  BI or similar reporting tool
• Demonstrated ability to think critically about data and draw actionable conclusions
• Strong verbal and written communication skills
• Ability to manage multiple concurrent projects and deliver with minimal supervision
• Analytical thinker with strong attention to detail
• Ability to communicate insights clearly to both technical and non-technical stakeholder

• Multiple medical plan options
• Health Savings Account with company contributions
• Dental & vision coverage for you and your dependents
• 401k with Company match
• Vacation, sick time & Company paid holidays
• Company wellbeing program with health insurance incentives