Health Insurance Data Analyst

Booz Allen Hamilton•Bethesda, MD

About The Position

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. For this role, we are seeking a highly skilled data analyst with deep expertise in healthcare claims data, Medicare Part C / D programs, and health insurance analytics. This role requires a strong technical foundation, excellent communication abilities, and a proven track record of working effectively in fast‑paced, collaborative environments. The ideal candidate will bring experience with medical and pharmacy claims data, risk adjustment policy or program operations, and advanced analytic programming. The candidate must be able to translate complex technical analyses into clear, actionable insights for non‑technical audiences. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

3+ years of experience serving on analytics teams and leading data-driven projects
3+ years of experience working with healthcare claims data, including medical and pharmacy claims, in commercial or Medicare environments
Experience with Medicare risk adjustment policy or Part C and D program operations
Experience in advanced analytics and coding, including with Python and SQL
Ability to translate complex technical and analytical concepts for non-technical audiences
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree and 5+ years of experience in a professional work environment, or 10+ years of experience in a professional work environment in lieu of a degree

Nice To Haves

Experience providing technical assistance to stakeholder groups using varied delivery formats
Experience with Medicare Advantage Encounter Data and Prescription Drug Event data
Experience working in collaborative, fast-paced environments
Ability to build and maintain relationships across federal agencies

Responsibilities

Use leadership skills and data science expertise to create real-world impact.
Work closely with clients to understand their questions and needs.
Dig into data-rich environments to find the pieces of their information puzzle.
Guide teammates and lead the development of algorithms and systems.
Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients as they make informed decisions.
Provide a deep understanding of the data, what it all means, and how it can be used.
Translate complex technical analyses into clear, actionable insights for non-technical audiences.