Data Analytics Manager Jobs in Los Angeles, CA
Data Analytics Manager jobs in Los Angeles are concentrated in entertainment and media, technology, healthcare, and e-commerce, with strong clusters in Playa Vista, El Segundo, and Century City. Employers hiring right now include L.A. Care Health Plan, TikTok, and City National Bank. Find a role that fits below and apply directly.
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Authorizations and Claims Analytics Solutions Business Insights and Data Analyst III
Los Angeles, CA, US, 90017
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 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. 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
Education Preferred
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.
Experience translating multi-domain analytics into actionable insights for leadership and enterprise-wide initiatives.
Demonstrated successful experience in communicating insights effectively to senior leadership and executives.
Experience with Utilization Management (UM) authorization workflows and prior authorization metrics.
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 claims operations, including receiving, adjudication, and provider dispute resolution. Knowledge of clinical and financial aspects of UM/claims and collaboration with operations or provider teams. Ability to analyze operational KPIs (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.
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
Required Training
Physical Requirements
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)
Nearest Major Market: Los Angeles
Job Segment: Claims, Insurance
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Find Data Analytics Manager JobsData Analytics Manager Job Market in Los Angeles
Who's Hiring
- L.A. Care Health Plan41

- TikTok31

- City National Bank31

- Qvest21

- UCLA Health21

Top Industries Hiring
- Healthcare & Medical Services31
- Banking & Financial Services21
- Education10
- Insurance10
Data Analytics Manager Jobs in Los Angeles: Frequently Asked Questions
How do I get a data analytics manager job in Los Angeles?
Focus your search on the industries that drive Los Angeles hiring: entertainment and streaming, digital marketing and e-commerce, healthcare systems, and fintech. Playa Vista, El Segundo, and Downtown Los Angeles are the densest hiring corridors. Candidates who can show cross-functional leadership, experience with large-scale consumer datasets, and familiarity with the entertainment or direct-to-consumer space stand out in this market.
Which companies hire data analytics managers in Los Angeles?
Los Angeles data analytics manager roles are posted by L.A. Care Health Plan, TikTok, and City National Bank and others right now, based on current listings on Migrate Mate as of September 2026. Los Angeles draws a broad mix of employers, from legacy entertainment studios and streaming platforms to healthcare networks and high-growth consumer tech companies.
Are there remote data analytics manager jobs in Los Angeles?
Yes, and data analytics manager roles are well-suited to remote work given the desk-based, tool-driven nature of the work. About 67% of data analytics manager openings tied to Los Angeles are remote or hybrid as of September 2026, reflecting the tech and media sectors' flexible-work norms. Strategy, reporting, and dashboard work are the functions most commonly offered remotely by Los Angeles employers.
How can I get a data analytics manager job in Los Angeles with little or no experience?
The most realistic path in Los Angeles is moving up from a senior analyst or analytics lead role within entertainment, healthcare, or e-commerce, sectors that promote from within. Smaller streaming startups in Culver City and Playa Vista and mid-size digital health companies frequently hire first-time managers. Building a portfolio around A/B testing, growth analytics, or audience data gives you an edge with Los Angeles employers specifically.
Which industries hire the most data analytics managers in Los Angeles?
The sectors hiring the most data analytics managers in Los Angeles are Healthcare & Medical Services, Banking & Financial Services, and Education, based on current listings on Migrate Mate as of September 2026. Los Angeles's concentration of entertainment studios, streaming platforms, and consumer-facing tech companies creates unusually high demand for analytics leadership tied to audience measurement, content performance, and digital revenue.
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