Healthcare Data Analyst II: Quality Analytics & Insights

IEHP; Rancho Cucamonga (CA); On-site; USD 91,000 - 121,000; Full time

Benefits offered by this job

Competitive salary

On-site fitness center

Medical, dental, vision insurance

Life and disability insurance

Career development

Job summary

IEHP in California is seeking a Healthcare Data Analyst II to lead data and analysis for the Health Plan’s Clinical and Provider programs. The role requires designing relational databases, complex queries, and applying statistical techniques to support quality initiatives such as HEDIS, CAHPS, and NCQA accreditation.

The incumbent will present findings to leadership and collaborate across teams, ensuring rigorous research methods and reliable analyses that inform payment algorithms and program

Qualifications

• Three (3) years of relevant work experience.
• Demonstrated experience working with large data sets and relational database structures.
• Master’s degree from an accredited institution required.
• In lieu of a Master’s degree, a minimum of a Bachelor’s degree and two (2) years of additional relevant work experience is required for this position.

Responsibilities

• Lead data analysis efforts for Clinical and Provider departments, programs, and quality activities.
• Design relational databases and complex query logic for analyses.
• Present study results to leadership and other audiences within the organization.
• Support IEHP’s quality programs (e.g., HEDIS, CAHPS, NCQA Accreditation) with sound research methods.

Skills

Statistical methods

Data analysis

Data presentation

Interpersonal communication

Time management

Multitasking

Education

Master's degree in a relevant field

Bachelor's degree + 2 years relevant experience

Tools

Microsoft Access

MS PowerBI

SAS

SQL

Job description

IEHP in California is seeking a Healthcare Data Analyst II to lead data and analysis for the Health Plan’s Clinical and Provider programs. The role requires designing relational databases, complex queries, and applying statistical techniques to support quality initiatives such as HEDIS, CAHPS, and NCQA accreditation.

The incumbent will present findings to leadership and collaborate across teams, ensuring rigorous research methods and reliable analyses that inform payment algorithms and program