Project - Healthcare Claims Data Analytics and Insights Engineer III

Deloitte • Des Moines, IA

3d • $91,100 - $151,800 • Onsite

About The Position

The Project - Healthcare Claims Data Analytics and Insights Engineer III role is part of Deloitte’s Regulatory, Risk & Forensic team, which helps clients translate complex risks and changing regulatory environments into defensible actions. The role supports a client project focused on healthcare claims analytics and program integrity.

The engineer analyzes large medical claims datasets to find billing anomalies, outlier patterns, and potential improper payments. The position involves developing and optimizing SQL queries; working with DRGs, UB-04 institutional claims, CMS-1500 professional claims, and ICD, CPT, and HCPCS coding; and creating dashboards and visualizations using tools such as Tableau, Power BI, or Databricks. The engineer works with program integrity, healthcare operations, and analytics colleagues to identify emerging fraud, waste, and abuse patterns.

This is a project-focused role in Deloitte’s Government & Public Services practice. Project Talent Model professionals deliver services to clients, with employment tied to their project role and no additional expectations for business development or promotion. The position requires in-person co-location five days per week in Des Moines, Iowa.

Requirements

• Bachelor’s degree.
• At least 5 years of experience in data analysis and visualization using tools such as SQL, R, Tableau, or Power BI.
• At least 3 years of experience in the healthcare domain or medical claims data analysis.
• Ability to work in person five days per week in Des Moines, Iowa.
• Legally authorized to work in the United States without employer sponsorship now or in the future.
• Ability to work independently and collaboratively as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work.
• Ability to build and sustain professional relationships.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and a professional demeanor.
• Ability to meet deadlines.

Nice To Haves

• Experience using Power BI for data visualization in support of fraud detection and prevention.
• Experience with Python for data manipulation and analysis, data management, and transformation.
• Experience with healthcare policy.

Responsibilities

• Analyze large volumes of medical claims to identify billing anomalies, outlier patterns, and potential improper payments.
• Develop and optimize complex SQL queries for large-scale claims datasets.
• Analyze medical claims data, including DRGs, UB-04 institutional claims, and CMS-1500 professional claims, using knowledge of ICD, CPT, and HCPCS coding.
• Build dashboards and analytical visualizations with Tableau, Power BI, or Databricks to surface risk indicators and support investigative teams.
• Collaborate with program integrity, healthcare operations, and analytics colleagues to identify emerging fraud, waste, and abuse patterns.
• Lead projects or workstreams and provide clear guidance to others.

Benefits

• Eligible for a benefits package competitive for project-focused professionals.
• May be eligible to participate in a discretionary annual incentive program.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior