Lead Data Analyst

MPOWERHealth

MPOWERHealth is looking for a Lead Data Analyst, responsible for analyzing healthcare financial data. The role involves close collaboration with Business Users, Billing, Finance, and Technology teams. The ideal candidate will possess expertise in financial data analysis, particularly in claims management, and lead efforts to consolidate and organize data processes across the organization.

In this role you can expect to have the responsibilities:

• Gather and document business and functional requirements and specifications.
• Analyze data, build database tables and stored procedures to enhance reporting performance.
• Create and test reports, and work with users to clarify metrics.
• Automate and streamline report delivery and alerts.
• Interpret business processes and align them with underlying data elements.
• Identify and resolve data gaps between healthcare systems and databases.
• Define key metrics for deeper insight and gain development approval.
• Document projects and tasks, manage issue escalation, and communicate progress.
• Lead analysts in ensuring data consistency, quality, and standard practices.
• Track and document report usage and lead consolidation efforts.
• Collaborate with business units to identify data dependencies and establish controls.
• Build strong relationships across business units for improved collaboration.
• Assist with additional analysis, development, and quality assurance as needed.
• Perform other duties as assigned.

This role comes with the following benefits:

• Reasonable accommodations for individuals with disabilities.

This role requires you to have:

• Bachelor’s degree or equivalent experience.
• Experience in the healthcare industry, particularly with healthcare claims data.
• 4+ years of financial data experience.
• 4+ years analyzing data and writing queries in SQL Server.
• 3+ years building reports and dashboards in PowerBI.
• 1+ years of experience with Excel reports.
• Excellent communication, organizational, and time management skills.
• Ability to manage multiple projects and meet deadlines.

You would benefit from having:

• Experience leading projects or small teams.
• Experience collaborating with offshore teams.
• Understanding data dependencies and attention to detail.
• Familiarity with decision trees, collaborative filtering, and text mining.

The role requires maintaining a professional appearance and regular attendance. The position involves sitting for long periods, possible light lifting, and requires strong communication and analytical abilities. Standard office environment may be busy and noisy.