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Analyst: Data Strategy - Healthcare

ATI Advisory

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Location:
United States, Washington, DC

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

You will support research and analytics from ideation → programming → insight → client-ready presentation. Senior analyst hires will lead client analytics and present findings.

Job Responsibility:

  • Design and execute empirical research on Medicare & Medicaid topics (from methodology to code to client-ready presentations)
  • Build, QC, and automate datasets and models
  • turn results into clear stories for clients and internal stakeholders
  • Prototype creative solutions to technical problems (data linkage, feature engineering, performance, reproducibility)
  • Translate complex analyses into clear narratives and executive-ready exhibits (PowerPoint/Excel), present to client leadership
  • Collaborate across ATI teams to align methods and deliver high levels of efficiency and ownership
  • Lead client-facing analytics and set technical direction
  • Review code, establish standards, mentor other team members, and foster a high quality, high support culture

Requirements:

  • 2-5 years applied analytics (or 1+ with an advanced degree) in healthcare, public policy, or adjacent fields
  • Hands-on R programming for data wrangling, analysis, and reproducible workflows
  • Financial modeling in Excel (structured models drawing from novel data analyses and academic literature)
  • Data visualization in the Microsoft Office suite (clear, executive-ready products)
  • Strong client communication: Ability to independently scope research, manage deadlines, and communicate complex findings simply
  • Growth mindset for tools: willingness to learn and use SAS, Python, and JavaScript for innovation projects
  • Strong attention to detail, including the ability to work efficiently to produce accurate and high-quality deliverables
  • Ability to solve problems independently, pivot quickly based on client needs, and work with incomplete information
  • Ability to communicate complex ideas and findings effectively into relevant insights – visually, verbally, and in writing
  • High-level of initiative, quick learning ability, and resourcefulness
  • Ability to thrive in a collaborative environment as a team player
  • High degree of professional maturity

Nice to have:

  • Experience with Medicare or Medicaid administrative data (e.g., Medicare or Medicaid research files like enrollment, claims/encounters, assessments)
  • Familiarity with value‑based care models, managed care, state Medicaid policy, and post‑acute/LTSS
  • Reproducible analytics practices (git, documentation, code review)
  • privacy and data governance (HIPAA/PHI handling)
  • Exposure to SAS/Python/JavaScript
  • dashboarding (Tableau/JS/Shiny/Power BI)
  • cloud data tooling

Additional Information:

Job Posted:
December 06, 2025

Work Type:
Remote work
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