Data Analyst

INDEX ANALYTICS LLC•Baltimore, MD
•$100,000 - $120,000•Remote

About The Position

Index Analytics, LLC, a Baltimore-based company providing health-related consulting services to the federal government, is seeking a Programmer / Analyst to support Government clients in the Baltimore and Washington, D.C. metro area. The role uses statistical analysis and programming to turn data into insights and address healthcare challenges, particularly those related to Medicaid and CHIP programs. The analyst develops and supports data products and solutions, performs analyses on Medicaid datasets, produces reports and visualizations, writes and maintains code, and validates analytical outputs. The position works in an agile environment with data analysts and scientists. The posting describes the role as experienced, remote, and requiring a four-year degree.

Requirements

  • Be a U.S. citizen or authorized to work in the United States and have lived in the United States for 3 of the last 5 years.
  • Be able to obtain a U.S. federal government client badge and pass a government Public Trust.
  • Bachelor’s degree with at least 4 years of relevant experience, or a master’s degree with at least 2 years of relevant experience.
  • Experience with code repository tools such as GitHub and CI/CD automation tools such as Jenkins for managing code and testing pipelines.
  • Experience with Python, R, and SQL, including processing large administrative claims datasets and conducting data validation and quality-control checks.
  • Experience applying statistical methods and concepts, such as distributions, statistical testing, and regression.
  • Excellent written and oral communication skills.
  • Experience with natural language processing using Python and/or similar technologies.

Nice To Haves

  • Prior experience with the Centers for Medicare & Medicaid Services or other government agencies.
  • Familiarity with Medicaid and the Children’s Health Insurance Program (CHIP).

Responsibilities

  • Research best practices and help develop recommendations and solutions that add value to products and improve business operations and policy for Medicaid and CHIP programs.
  • Conduct routine business analysis using statistical analysis, explanatory and predictive modeling, data mining, and other techniques; interpret Medicaid datasets, including claims, TAF, and program oversight data.
  • Work with internal or external clients to produce ad hoc data and reports, visualizing data using industry best practices for HCD and UX.
  • Write, test, and maintain production SQL and Python code to process claims and enrollment data into analytic files and measures.
  • Run and document QA and validation steps on code and outputs, including before products move to clearance or publication.
  • Identify and diagnose data anomalies or data-quality issues.
  • Work in an agile environment with a team of data analysts and scientists.
  • Perform data mining using state-of-the-art methods.
  • Build statistical models, data visualizations, and tools for analysis.

Benefits

  • Career development and educational opportunities
  • Supportive and collegial team environment
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