Program Evaluation Analyst II

Inland Empire Health Plans; Rancho Cucamonga (CA); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive salary

On-site fitness center

Medical Insurance

Life and disability insurance

Career advancement opportunities

Wellness programs

Flexible Spending Account

CalPERS retirement

457(b) option

Paid life insurance

Pet care insurance

Job summary

Inland Empire Health Plans seeks a Program Evaluation Analyst II to lead data efforts that support various Health Services initiatives. This role will require extensive experience in quantitative methods, relational databases, and statistical analysis.

The ideal candidate will design meaningful analyses that translate data into actionable insights and disseminate findings to leadership teams, contributing to strategic decision-making.

Qualifications

• Minimum of three years of relevant experience in healthcare or public health research.
• Extensive experience applying rigorous quantitative methods in research.
• Advanced expertise in relational databases and statistical analysis.

Responsibilities

• Lead data and analytical efforts supporting Health Services departments.
• Design and execute analyses that address research questions.
• Disseminate study and analysis results to various audiences.

Skills

Program Evaluation

Statistical Methods

Relational Databases

Healthcare Knowledge

Data Analysis

SAS

SQL

R

Microsoft Office

Education

Master's degree

Bachelor's degree with additional experience

Job description

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!

Under the direction of the Health Services Evaluation Leadership Team, the Program Evaluation Analyst II leads data and analytical efforts that support Health Services departments, programs, and quality initiatives. Evaluating and analyzing programs and initiatives across Health Plan departments is a core function of this role.

The Program Evaluation Analyst II must be a data driven professional with extensive experience applying rigorous quantitative methods in research and/or program evaluation. This role requires advanced expertise in relational databases, complex query logic, and statistical analysis.

In addition to technical proficiency, the Program Evaluation Analyst II designs and executes analyses that address research questions, measures program impact, and translates findings into actionable insights. The role works cross functionally to transform raw data into evidence that informs strategy, operations, and outcomes. The Analyst II also disseminates study and analysis results to audiences across the organization, including leadership teams.

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Perks

• Competitive salary
• State of the art fitness center on-site
• Medical Insurance with Dental and Vision
• Life, short-term, and long-term disability options
• Career advancement opportunities and professional development
• Wellness programs that promote a healthy work-life balance
• Flexible Spending Account – Health Care/Childcare
• CalPERS retirement
• 457(b) option with a contribution match
• Paid life insurance for employees
• Pet care insurance

Education & Requirement

• A minimum of three (3) years of relevant experience
  • Background in healthcare or public health research, program evaluation, epidemiology, biostatistics, or outcomes research preferred
• 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
  • This experience is in addition to the minimum years listed in the Experience Requirements above

Key Qualifications

• Program Evaluation & Research Design:
  • Program development, implementation, and evaluation
  • Logic models, theory of change, outcome and process evaluations
  • Designs: pre/post, matched comparisons, quasi-experimental, interrupted time series, difference-in-differences
  • Validity and reliability, threats to inference, power and sample size
• Relational Databases:
  • Understanding of how relational design impacts performance, data quality, and workflows
  • Joins (inner, left, full, cross), subqueries, query optimization, data manipulation concepts
• Statistics & Methods:
  • Understanding of statistical methods and experience applying statistical methods to answer data questions
  • Descriptive and inferential statistics, regression, time series, survival analysis
  • Propensity score methods and causal inference basics
• Health Services Knowledge:
  • Claims and encounter data, EHR data structures, quality metrics (e.g., HEDIS), utilization and cost measures
  • Care coordination, SDOH (social determinants of health), population health, disparities
• Proficiency in SAS, SQL, R, or other statistical applications are essential
• Statistical methods and program evaluation
• Excellent interpersonal/ communication skills
• Proficiency in Microsoft Excel, Word and Power Point
• Strong attention to detail
• Ability to present reports / data analysis findings in group settings
• Strong problem-solving capability
• Ability to manage multiple projects with time-sensitive deadlines a must
• Data analysis, data presentation, spread sheet and database capabilities