Member Experience Analytics Solutions and Data Analyst IIIL.A. Care Health Plan • United States

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Member Experience Analytics Solutions and Data Analyst III

L.A. Care Health Plan

United States

United States

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À propos

Member Experience Analytics Solutions and Data Analyst III Job Category: Administrative, HR, Business Professionals Department: Enterprise Analytics Location: Los Angeles, CA, US, 90017 Position Type: Full Time Requisition ID: 12916 Salary Range: $102,183.00 (Min.) - $132,838.00 (Mid.) - $163,492.00 (Max.) Established 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, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care's mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. Job Summary The Member Experience 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. This position combines strong data engineering fluency with analytical acumen transforming complex, multi-domain data (membership, encounters, providers, claims, quality metrics) into interpretable and actionable insights used by leaders across the health plan. This position emphasizes the development of insight rich, production ready analytic assets, delivering repeatable, governed analyses that illuminate key drivers of care quality, efficiency, and financial outcomes. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff. Duties Designs and maintains reusable analytic data models and Extract, Transform, and Load (ETL) pipelines that support recurring insight generation and performance monitoring. Leads development of advanced dashboards, reports, and analytic tools that surface trends, correlations, and performances 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, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed. Performs other duties as assigned. Duties Continued Education Required Bachelor's Degree In lieu of degree, equivalent education and/or experience may be considered. Education Preferred Master's Degree Experience Required: 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. Demonstrated successful experience in communicating insights effectively to senior leadership and executives. Experience analyzing call center operations, enrollment services, and appeals and grievances. Experience translating multi-domain analytics into actionable insights for leadership and enterprise-wide initiatives to improve member experience and member engagement operations. Preferred: Experience with enterprise level initiatives, such as Key Performance Indicator (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. Skills Required: Expertise in designing, building, and maintaining complex ETL pipelines and analytic data models that support enterprise reporting, dashboards, and predictive insights. Advanced experience with BI tools (Tableau, Power BI) to design insight rich, production ready dashboards and analytic products. Proficiency with SQL and/or Python/R for large-scale data manipulation, advanced analyses, and operationalization of analytic workflows. Strong knowledge of version control (Git/GitHub) and CI/CD processes for analytic code and pipelines. Ability to integrate, optimize, and enhance multiple data sources for performance, governance, and reproducibility. Ability to apply advanced statistical, predictive, and diagnostic methods to uncover drivers of quality, efficiency, and financial outcomes. Deep understanding of managed care operations, such as capitation models, provider networks, utilization management, and quality incentive programs. Ability to translate multi-domain data into actionable insights that directly inform strategic and operational decisions. Ability to conduct root-cause analyses, scenario modeling, and complex problem solving with minimal guidance. Ability to operate with high autonomy, independently defining priorities and managing complex, ambiguous analytic projects. Ability to communicate complex analytic findings effectively to senior leadership, executives, and external stakeholders. Ability to translate insights into actionable recommendations and strategic narratives that influence enterprise decision making. Ability to mentor and guide other analysts, promoting analytic best practices across teams. Ability to drive continuous improvement of analytic tools, data structures, and reporting ecosystems, proactively identifying opportunities to enhance organizational performance. Ability to influence operational or strategic decisions. Knowledge of Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys or other member satisfaction measurement tools. Ability to assess member touchpoints, satisfaction metrics, and operational KPIs. Preferred: Proficient with Process Improvement Methodology including defining and documenting workflow. Knowledge of program and project level planning, mobilization and management. Licenses/Certifications Required Licenses/Certifications Preferred Tableau Certified Data Analyst or Tableau Desktop Specialist Snowflake SnowPro Core Certification SnowPro® Specialty: Snowpark Certification SQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification) Certified Analytics Professional (CAP) Python Institute PCEP or PCAP (Python Programming) DataCamp Certified Data Analyst (Python or R) HarvardX or Johns Hopkins Data Science Certificate (R) Microsoft Certified: Data Scientist Associate (DP-100) Certified Health Data Analyst (CHDA) Managed Care Professional (MCP) or relevant certification. Required Training Physical Requirements Light Additional Information Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market. The range is subject to change. L.A. Care offers a wide range of benefits including Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

United States

Compétences linguistiques

English

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