Назад
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16 часов назад

Data Analyst IV Healthcare Analytics, Medical Economics

87 700 - 157 800$
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
Data Analyst IV Healthcare Analytics, Medical Economics (SQL/Python/R): Analyzing complex healthcare, claims, utilization, and financial datasets to identify cost-saving opportunities and improve clinical outcomes with an accent on medical spend, cost trends, and healthcare payment analytics. Focus on optimizing queries and reports, identifying root causes, building reporting tools, and communicating actionable insights to business stakeholders.

Location: Remote-MI; U.S. work authorization required

Salary: $87,700–$157,800 per year

Company

hirify.global is a diversified national healthcare organization serving 28 million members.

What you will do

  • Analyze integrated datasets from healthcare providers, members, patients, and third parties.
  • Lead large-scale analytics projects and develop new reporting tools based on business goals.
  • Research cost, utilization, financial, and medical spend trends to identify improvement opportunities.
  • Investigate data, process, and technical issues, identify root causes, and communicate findings.
  • Present data-driven recommendations to internal and external stakeholders and collaborate cross-functionally.
  • Mentor junior analysts, delegate tasks, and validate analytical work.

Requirements

  • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or a related field, or equivalent experience.
  • At least 5 years of experience working with large databases, data verification, and data management, or at least 3 years of IT experience.
  • Working knowledge of SQL and querying languages, including table creation and indexing, query optimization, and stored procedures.
  • Experience with data modeling, trend analysis, root-cause analysis, and statistical, analytical, or data-mining techniques.
  • Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future.

Nice to have

  • Master’s degree.
  • Healthcare analytics experience and knowledge of claims, encounters, DRGs, Medicare, Medicaid, and Marketplace programs.
  • Python or R programming experience.
  • Experience with business intelligence and data visualization tools, financial modeling, claims pricing, contract or network analysis, and ROI evaluation.
  • Familiarity with claims payment, utilization management, provider or vendor contracts, and risk adjustment.

Culture & Benefits

  • Flexible approach to remote, hybrid, field, or office work schedules.
  • Health insurance, 401(k), and stock purchase plans.
  • Tuition reimbursement, paid time off, and holidays.
  • Competitive pay adjusted for skills, experience, education, and other job-related factors.

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