Health Data Analyst

About the Role

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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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 A/B/C/D programs, and health administrative data analytics. This role requires a strong technical foundation, excellent communication abilities, and a proven track record of working effectively in fast‑paced, collaborative environments. You will bring experience with medical and pharmacy claims data, quality improvement program operations, and advanced analytic programming. You will also 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.

Key Responsibilities

• Analyze healthcare claims data, including medical and pharmacy claims, in commercial or Medicare environments.
• Analyze structured and unstructured data sources.
• Perform advanced analytics and coding.
• Translate complex technical and analytical concepts for non‑technical audiences.
• Translate complex technical analyses into clear, actionable insights for non‑technical audiences.
• Work closely with clients to understand their questions and needs.
• Dig into data-rich environments to find information.
• Develop algorithms and systems.
• Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers.

Requirements & Tech Stack

• 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 2+ years of experience with statistical and general-purpose programming languages for data analysis.
• 1+ years of experience working with healthcare claims data, including medical and pharmacy claims, in commercial or Medicare environments.
• Experience analyzing structured and unstructured data sources.
• Experience in advanced analytics and coding, including with Python and SQL.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Ability to translate complex technical and analytical concepts for non‑technical audiences.
• Public Trust determination required.
• Bachelor’s degree.

Nice To Have

• Experience with Machine Learning, AI, or NLP.
• 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.
• Master’s degree.