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Insight Global

Senior Medicare Data & Finance Analyst Job at Insight Global in Orlando

Insight Global, Orlando, FL, US


Job Description

Job Description

We are seeking a Senior Medicare Data & Finance Analyst to join our team, please read qualifications and responsibilities below!

Must Haves:

  • 5+ years of experience in analytics with a Medicare Advantage Plan or senior value-based care provider.
  • Proficiency in SQL, Power BI, and other relevant software tools and applications.
  • Experience working with large data sets, particularly claims data.
  • Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Finance, Economics, Statistics, or a related analytical field.
  • Strong communication skills and the ability to present findings effectively.
  • Experience with EPIC/EHR systems.

Plusses:

  • Experience with analytics software such as Lightbeam for Medicare program analytics.
  • Experience working on the Medicare Advantage Bid process.
  • Master’s degree in an analytical or healthcare-related field.

Position Responsibilities:

  • Effectively communicate issues and resolutions to users, ensuring they are informed and satisfied with the support provided.
  • Set up new hardware and software as needed.
  • Utilize strong troubleshooting skills to resolve a wide variety of technical issues efficiently, minimizing downtime.
  • Perform routine maintenance, upgrades and repairs on computers, printers, and other IT equipment.
  • Maintain accurate records of IT service requests, resolutions, and equipment inventory.
  • Install configure and troubleshoot software applications and operating systems.

Key Responsibilities:

  • Support the Medicare side of the organization by managing senior members and handling various ad hoc requests from clients.
  • Collaborate closely with the CFO and other high-level leadership.
  • Perform extensive reporting and build out reports (not dashboards).
  • Conduct ad hoc analysis and provide data guidance.
  • Work closely with other analysts and lead the team in data and finance-related tasks.