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Medical Informatics Analyst, Consultant
Job in
Long Beach, Los Angeles County, California, 90899, USA
Listed on 2025-12-27
Listing for:
Blue Shield of CA
Full Time
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
The AI and Analytics team oversee the artificial intelligence platform and analytical functions. In this role, you will be providing critical analytics support to our healthcare insurance clients (Blue Shield of California and other health plans). This role is responsible for driving data-informed strategies and delivering actionable insights to optimize Behavioral Health and improve business outcomes. The ideal candidate will be a methodical thinker with a strong analytical mindset and a passion for leveraging data to solve complex business challenges
Your Knowledge and Experience- Bachelor's degree in data science, data analytics, health informatics, statistics, engineering, or related fields required. Master's degree in data science, Statistics or Business Analytics (preferred).
- 7+ years of experience in a healthcare analytics role, preferably in the healthcare insurance industry.
- Proven experience in providing analytics support to clients or internal stakeholders in a consultative capacity.
- Strong proficiency in SQL for data extraction, manipulation, and analysis.
- Hands‑on experience using SAS for data extraction and manipulation.
- Expertise in Python for statistical analysis, predictive modeling, and data automation.
- Advanced skills in Tableau for creating interactive dashboards and data visualizations.
- Requires five years' experience in Health Care (managed care, academic, or gov't payer)
- SAS certification (preferred)
- Experience with Generative AI (GenAI) and Large Language Models (LLMs) in a marketing or analytics context (preferred)
- Hands‑on experience with the Databricks platform for large-scale data processing and analytics (preferred)
- Experience with CRM platforms (e.g., Salesforce) (preferred)
- Cloud Platforms: AWS, Azure, or Google Cloud experience (preferred)
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