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Lead Analyst - Health Economics & Performance Optimization

Role overview

Summary

This role focuses on transforming complex healthcare data into actionable insights to enhance performance and patient care at Mercy. It collaborates with various stakeholders to identify improvement opportunities and implement analytical solutions that support healthcare operations.

Qualifications

  • Bachelor’s degree in computer science, mathematics, finance, economics, health management, or a related field, specialized training, or equivalent work experience.
  • Eight years of relevant technical, business, clinical, or analytical experience.
  • Epic data model certification, or ability to obtain within six months of hire.
  • Certification in Mercy’s health economics platform within six months of hire.
  • Strong analytical, problem-solving, and troubleshooting skills.

Responsibilities

  • Lead analytical initiatives supporting primary care and value-based care across Mercy.
  • Partner with clinical, operational, technical, and external stakeholders to develop solutions that drive measurable improvement.
  • Help take analytical solutions from concept through implementation.
  • Serve as a subject matter expert and trusted resource after solutions are launched.

Key facts

  • Remote from: United States
  • Full time
  • Senior (5-10 years)
  • English

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication
  • Collaboration
  • Relationship Building

About the company

Mercy logo

Mercy

  • Hospitals & Health Systems
  • XLarge
  • 10,001+
Mercy, one of the 25 largest U.S. health systems, serves millions annually with nationally recognized quality care and one of the nation’s largest Accountable Care Organizations. Mercy is a highly integrated, multi-state health care system including more than 40 acute care, managed and specialty (heart, children’s, orthopedic and rehab) hospitals, convenient and urgent care locations, imaging centers and pharmacies. Mercy has 900 physician practices and outpatient facilities, 3,400 Mercy Clinic physicians and advanced practitioners, as well as more than 40,000 co-workers serving patients and families across Arkansas, Kansas, Missouri and Oklahoma. Mercy also has clinics, outpatient services and outreach ministries in Arkansas, Louisiana, Mississippi and Texas.Mercy’s Virtual Care Center is the world’s first such facility dedicated to care outside its own walls, monitoring patients 24/7/365 across the country, using high-speed data and video connections and medically intervening when and where patients need it with a comprehensive team approach. Visit MercyVirtual.netMercy was among the first health care organizations in the U.S. to have an integrated electronic health record (EHR) connecting all points of care. Mercy Technology Services’ broad use of its EHR has been recognized at one of the highest possible levels by Epic. Visit MercyTechnology.net.For information about Mercy's social media policy, please visit https://www.mercy.net/footer/website-terms-and-privacy/#social. Please note: many of the images and videos featured on our page were taken before the COVID-19 pandemic. Rest assured, we are following all necessary guidelines at this time, whether it's in photos and videos here, or in person at any of our Mercy facilities. For more information, visit Mercy.net/COVID19.

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Job description

Find your calling at Mercy!

The Health Economics & Performance Optimization Lead Analyst turns complex healthcare data into actionable insights that improve performance, operations, and patient care. This role leads analytical initiatives supporting primary care and value-based care across Mercy, partnering with clinical, operational, technical, and external stakeholders to develop solutions that drive measurable improvement.

The Lead Analyst also helps take analytical solutions from concept through implementation, serving as a subject matter expert and trusted resource after solutions are launched.

Position Details:

Education: Bachelor’s degree in computer science, mathematics, finance, economics, health management, or a related field, specialized training, or equivalent work experience.

Experience: Eight years of relevant technical, business, clinical, or analytical experience.

Certifications

  • Epic data model certification, or ability to obtain within six months of hire.
  • Certification in Mercy’s health economics platform within six months of hire.

Skills & Knowledge

  • Strong analytical, problem-solving, and troubleshooting skills.
  • Advanced experience developing business intelligence solutions using tools such as Power BI or Tableau.
  • Advanced proficiency with programming and analytical languages such as SQL, SAS, or R.
  • Ability to translate complex data into meaningful insights and recommendations for clinical and business stakeholders.
  • Strong communication, collaboration, and relationship-building skills across technical, clinical, and operational teams.

Preferred Qualifications

  • Master’s degree in a related field.
  • Health or medical economics experience.
  • Experience within a clinical, patient care, healthcare technology, or payer environment.
  • Knowledge of HEDIS.
  • Understanding of major U.S. healthcare coverage models, including Medicare, Medicaid, and commercial insurance, as well as Medicare Advantage, HMOs, and PPOs.

Why This Role Matters

This role sits at the intersection of healthcare analytics, operations, and patient care. The Lead Analyst goes beyond reporting what the data shows by helping stakeholders understand what it means, identifying opportunities for improvement, and building analytical solutions that help teams take action.

Why Mercy?

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.


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