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# Senior Data Analyst, Operations - remote PST

- **Company:** Irvine Technology Corporation
- **Location:** Long Beach, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800 - $156,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Intelligence Analysis, Python (Programming Language), Power BI, SQL Databases, Scripting, Snowflake, Generative AI, Data Analytics, Data Management, Streamlit Framework, QNXT, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-analyst-operations-remote-pst-long-beach-ca--1756cab0-43be-4900-9f38-d20baddc2b55

## About the Role

Data Analysis, Operational Audit, Reporting Dashboards, Leadership, Data Analysis, Data Modeling, Artificial Intelligence (AI), Intelligence Analysis, Consulting, Python Programming/Scripting Language, * 5+ years of healthcare payor, claims analytics, or health plan operations experience, with a strong understanding of claims and enrollment data

 * 5+ years of hands-on experience with SQL, Snowflake, Power BI, and Python
 * Experience with AI-powered analytics or generative AI tools, plus a genuine eagerness to learn and embrace new technologies
 * Excellent communication and presentation skills, with the executive presence to turn data into compelling stories for non-technical audiences
 * Experience with Streamlit (highly preferred), Databricks, QNXT, and business process documentation is a strong plus

Ready to bring your data storytelling to a team that's building what's next? Apply today and let's talk.

## Description

* Design and maintain enterprise Power BI dashboards, semantic data models, and AI-enabled analytics solutions using Snowflake, SQL, and Python
 * Partner with operations leaders across Enrollment, Claims Operations, Grievances & Appeals, Provider Data Management, and more to understand goals and translate needs into clear requirements
 * Analyze claims, enrollment, workforce, and provider data to uncover trends, root causes, and opportunities for improvement
 * Present findings and data stories to technical and non-technical audiences, including senior leadership
 * Evaluate and adopt emerging AI and automation tools to keep the team's analytics innovative and scalable