Data Analyst & Healthcare Payer

Princeton IT Services, Inc • Full-time • Orange, CA, US • 2d ago

Job Title: Data Analyst – Healthcare Payer

Location: Orange County, CA (Onsite)

Employment Type: Full-time Contract

Job Overview

We are seeking a highly analytical Data Analyst with strong experience in the healthcare payer domain. The ideal candidate will have exceptional SQL and data querying skills to extract, validate, and compare data across multiple sources to ensure accuracy, consistency, and compliance. This is an onsite role based in Orange County, CA for Alignment Health.

Responsibilities

Perform detailed data analysis and validation across healthcare data sources (claims, enrollment, eligibility, provider, and clinical data).
Write and optimize complex SQL queries to extract and manipulate large datasets.
Compare data between multiple systems or data sources to identify discrepancies and ensure data integrity.
Collaborate with business and technical teams to understand data requirements and translate them into actionable insights.
Support data quality initiatives by identifying data gaps, inconsistencies, and process improvement opportunities.
Prepare clear documentation of data findings, logic, and processes.
Assist in the design and maintenance of dashboards, reports, and KPIs for business stakeholders.
Ensure compliance with healthcare data standards (HIPAA, CMS, NCQA, etc.).

Required Skills And Qualifications

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Public Health, or related field.
3–6 years of experience as a Data Analyst within the healthcare payer domain.
Strong proficiency in SQL and experience with data querying, joins, aggregations, and performance tuning.
Hands-on experience working with claims, eligibility, member, or provider data.
Ability to analyze large and complex datasets from multiple systems and reconcile data inconsistencies.
Proficient with tools such as Excel, Power BI, or Tableau for data visualization and reporting.
Strong understanding of healthcare data models, payer workflows, and standard data formats (e.g., 837/835).
Excellent problem-solving skills and strong attention to detail.
Effective communication skills to present data insights to both technical and non-technical stakeholders.

Preferred Skills