Solutions and Data Analyst III
Listed on 2026-01-25
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IT/Tech
Data Analyst, Data Science Manager
Salary Range
$ (Min.) - $ (Mid.) - $ (Max.)
Company OverviewEstablished in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low‑income Los Angeles County residents. We are the nation’s largest publicly operated health plan, serving more than 2 million members and ensuring they get the right care at the right place at the right time.
MissionL.A. Care’s mission is to provide access to quality health care for Los Angeles County’s vulnerable and low‑income communities and to support the safety net required to achieve that purpose.
Job SummaryThe Authorizations and Claims Analytics Solutions and Data Analyst III serves as a subject‑matter expert (SME), technical and analytic integrator responsible for designing, developing, and operationalizing advanced analytic solutions that drive strategic insight and organizational performance. The role blends strong data engineering fluency with analytical acumen, transforming complex, multi‑domain data (membership, encounters, providers, claims, quality metrics) into actionable insights for leaders across the health plan.
It also focuses on developing insight‑rich, production‑ready analytic assets, delivering repeatable, governed analyses that illuminate key drivers of care quality, efficiency, and financial outcomes. Additionally, the analyst acts as an SME, resource, and mentor for other staff.
- Designs and maintains reusable analytic data models and ETL pipelines that support recurring insight generation and performance monitoring.
- Leads development of advanced dashboards, reports, and analytic tools that surface trends, correlations, and performance opportunities across enterprise domains.
- Partners with analysts, data scientists, and operational stakeholders to embed insights directly into workflows and decision processes.
- Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.
- Ensures adherence to data lineage, governance, and reproducibility standards across all analytic products.
- Supports enterprise‑level measure refresh cycles and ensures alignment with standardized data abstraction layers.
- Drives continuous enhancement of the analytic ecosystem by integrating new data sources, improving data structures, and optimizing performance.
- Translates analytic findings into business‑relevant narratives and partners with stakeholders to act on insights.
- Applies subject‑matter expertise in evaluating business operations and processes; identifies areas where technical solutions would improve business performance; consults across business operations, provides mentorship, and contributes specialized knowledge; ensures facts and details are correct so that program deliverables meet the needs of the department, organization, and legislation’s policies, standards, and best practices.
- Provides training, recommends process improvements, and mentors junior staff, interns, etc. as needed.
- Performs other duties as assigned.
- Bachelor’s Degree (or equivalent education and/or experience)
- Master’s Degree
- At least 5 years of progressive analytics experience in healthcare, managed care, or related industries.
- Proven experience designing, developing, and operationalizing analytic solutions across multiple domains.
- Experience translating multi‑domain analytics into actionable insights for leadership and enterprise‑wide initiatives.
- Demonstrated successful experience communicating insights effectively to senior leadership and executives.
- Experience with Utilization Management (UM) authorization workflows and prior authorization metrics.
- Experience with enterprise‑level initiatives such as KPI maintenance, cross‑domain dashboards, measure ROI, or strategic investment analytics.
- Strong experience managing care operations, including capitation, provider networks, risk adjustment, or quality incentive programs.
- Expertise in designing, building, and maintaining complex ETL pipelines and analytic data models that support enterprise reporting, dashboards, and predictive insights.
- Ad…
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