Overview

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.

Additional Benefits

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

Key Responsibilities

Lead program evaluation efforts by working collaboratively with a program evaluator, supporting the process of designing evaluation frameworks, logic models, and research methodologies (e.g., pre/post, comparison groups, quasi‑experimental approaches) to answer research questions and assess program outcomes

Identify appropriate data sources, extract and prepare datasets, and ensure data integrity by testing, validating, and maintaining accuracy across multiple systems

Clean, transform, and analyze data using statistical, predictive, and exploratory methods, developing reproducible workflows and applying rigorous quantitative approaches

Create clear, actionable reports, dashboards, and visualizations that communicate complex findings effectively to diverse audiences

Synthesize analytical results into concise narratives, summaries, and recommendations that support executive decision‑making and operational improvements

Partner with program leads, data/IT teams, finance, and operations to align evaluation plans, ensure data accuracy, and support implementation of insights

Apply equity-centered frameworks to study design, measurement, and interpretation, contributing to ongoing improvement of methods for evaluating outcomes across key populations

Manage multiple evaluation projects simultaneously, maintain standardized documentation (e.g., codebooks, methods, reproducible pipelines), and present findings to both technical and non‑technical stakeholders while fostering positive working relationships

Perform any other duties as required to ensure Health Plan operations and department business needs are successful

Qualifications

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

 

Start your journey towards a thriving future with IEHP and apply TODAY!

Work Model Location

This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday – Thursday onsite in Rancho Cucamonga, CA.)

Pay RangeUSD $91,249.60 - USD $120,910.40 /Yr.