Data Analyst - Health, Senior

Blue Shield of California • Oakland, CA

3h

About The Position

Your Role The Medicare Quality organization is recruiting for a Senior Analyst to support quality improvement strategy and operational execution across HEDIS, Medicare Stars, member experience (CAHPS), clinical programs, and health equity initiatives. This role will play a critical part in synthesizing data, translating analytical findings into actionable insights, and supporting the operational performance of Medicare Quality programs. While this position partners closely with the Clinical Quality Analytics (CQA) team, it remains embedded within and directly aligned to the Medicare Quality organization. This role is ideal for an experienced analyst who can operate with independence, manage moderately complex analytical work, interpret findings for business partners, and support cross-functional quality workstreams with strong analytical rigor and thoughtful communication. The Senior Analyst will report directly to the Senior Director, Clinical Quality (Medicare Quality Leader). Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Requirements

• Bachelor’s degree in public health, social science, business, data science, health services research, computer science, MIS, or equivalent experience is required.
• 5 years of experience in health care (managed care, payer, academic, or government), ideally within quality, analytics, operations, or clinical programs is required.
• Demonstrated experience with SQL, SAS, or similar analytic tools; strong Excel and data presentation skills.
• Ability to independently manage analysis projects, define reporting requirements, and communicate complex concepts to non technical audiences.
• Strong problem solving skills and ability to work with moderately complex datasets, business rules, and quality measurement methodologies.
• Experience partnering with cross functional analytics teams (e.g., CQA) while maintaining alignment to a business owner or operational team.

Nice To Haves

• Master’s degree (MPH, MS, MBA, MA) is preferred.
• Working knowledge of HEDIS, Stars, CAHPS, or health care quality measures (preferred but not required).
• Experience with Tableau or other data visualization tools.
• Familiarity with clinical coding systems (ICD 10, CPT, DRG, LOINC, pharmacy codes).
• Experience supporting quality improvement, care management, provider performance, or regulatory programs.

Responsibilities

• Lead the design, development, and execution of moderately complex analyses that support HEDIS, Medicare Stars, CAHPS/member experience, clinical quality programs, and health equity improvement strategies.
• Transform data into clear, meaningful insights to guide operational decision making.
• Collaborate with the Clinical Quality Analytics team to align business requirements, validate data outputs, and ensure consistency across quality reporting.
• Produce dashboards, presentations, and operational reports tailored to non technical audiences across the organization.
• Support Medicare Quality performance cycles, including HEDIS measurement, Member Experience and Intervention planning and analysis, Stars strategy tracking, and regulatory deliverables.
• Monitor quality performance trends, identify risks or gaps, and escalate insights into leadership.
• Participate in cross functional workgroups, providing analytical input to support program design, interventions, and performance monitoring.
• Support health equity analyses that identify disparities in care or outcomes and help assess the impact of equity focused interventions.
• Serve as a primary analytical partner to Medicare Quality program owners while coordinating closely with CQA, Enterprise Analytics, Provider Partnerships, and other operational teams.
• Translate analytic outputs into clear recommendations for clinical, operational, or member experience initiatives.
• Help standardize reporting approaches and improve analytic processes within Quality.
• Use SQL, SAS, R, Python, or similar tools to extract, manipulate, and validate data as needed.
• Apply strong data quality practices to ensure accuracy, completeness, and reliability of quality related reporting.
• Maintain documentation, business rules, and report specifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level