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7 часов назад

Healthcare Data Analyst (Medicaid Finance & Policy)

71 700 - 131 905$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Healthcare Data Analyst (Medicaid Finance & Policy) (Healthcare Analytics/Medicaid): Analyzing healthcare claims, provider cost, trend, and public data to support Medicaid reimbursement methodology, rate setting, and funding strategies with an accent on data modeling, SAS programming, advanced Excel analysis, and policy research. Focus on troubleshooting analytical code, evaluating model outputs, documenting findings, and supporting quality control for healthcare consulting engagements.

Location: Remote within the United States; being located in Seattle or Chicago is a plus. Candidates must be legally authorized to work in the United States without current or future immigration support or sponsorship.

Salary: $71,700–$131,905 overall; $82,455–$131,905 in Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, and the District of Columbia; $71,700–$114,700 in all other locations.

Company

hirify.global provides consulting and analytical services in healthcare financing, risk management, regulatory compliance, data analytics, and business transformation.

What you will do

  • Analyze healthcare claims, service trends, provider costs, and publicly available data for hospital, physician, nursing facility, behavioral health, and home and community-based services.
  • Design, develop, and use data models, then review, evaluate, and summarize model outputs.
  • Assist with Medicaid policy research and analysis.
  • Draft technical documentation, client reports, and PowerPoint presentations.
  • Review colleagues’ work as part of quality control processes.
  • Initially provide analytical support without client-facing responsibilities, with potential opportunities to manage projects, work with clients, mentor or manage colleagues, or pursue a combination of these paths.

Requirements

  • Bachelor’s degree or higher.
  • At least 5 years of experience analyzing large datasets.
  • Healthcare-related experience, specifically analyzing Medicaid claims.
  • Experience using database management and statistical programming tools, including SAS, SQL, or Python.
  • Ability to write or learn SAS code without point-and-click user interfaces.
  • Interest and aptitude for detail-oriented analytical work, strong problem-solving skills, and the ability to troubleshoot code, identify root causes, and resolve issues independently.
  • Ability to communicate technical information and concepts effectively, both verbally and in writing, and to conduct and summarize research.
  • Advanced Excel skills for data analysis, including formulas or tools such as SUMIFS, INDEX/MATCH combinations, nested IF statements, and macro use or development up to full VBA coding. Data visualization, such as creating PivotTables, is not a significant part of the role.
  • Legal authorization to work in the United States without immigration support or sponsorship from hirify.global now or in the future.

Nice to have

  • Experience with SQL, Python, and/or Databricks.
  • Experience providing consulting services to state Medicaid or other health and human services agencies, or to public or private healthcare-related entities.

Culture & Benefits

  • Remote work arrangement with comprehensive employee benefits.
  • Medical, dental, vision, life insurance, AD&D, short-term disability, and long-term disability coverage.
  • 401(k) matching and profit-sharing contributions, discretionary bonuses, and flexible spending accounts.
  • Paid time off accruing from the first day, at least 10 observed holidays annually, and up to 11 weeks of paid parental leave for eligible employees.
  • Family-building benefits, employee assistance support, skills training, career development, learning, mentoring, and employee resource groups.

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