Enterprise Data Analyst II

Salary Range:  $77,265.00 (Min.) - $100,445.00 (Mid.) - $123,625.00 (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 Enteprise Data Analyst II collaborates and contributes in the design, development, and delivery of analytic solutions that inform operational, quality, and financial performance across the organization. This focuses on transforming business questions into structured, validated, and well-communicated analytic outputs using approved enterprise data assets and governance standards.

 

The Enterprise Data Analyst II contributes to every stage of the analytics lifecycle from intake through code development, peer review, and ongoing maintenance and plays a key role in ensuring data accuracy and consistency across recurring enterprise reports and dashboards.

Duties

Translate defined business questions into structured analytic requirements and specifications.

 

Participate in structured requirements elicitation, documentation, and verification.

 

Develop and automate recurring reports and dashboards, applying standardized definitions and refresh cycles (daily, weekly, monthly, quarterly).

 

Validate data integrity and ensure compliance with data lineage and governance standards.

 

Contribute to analytic code review and continuous integration processes to maintain transparency, version control, and quality.

 

Collaborate with IT, business partners, and fellow analysts to resolve data issues and confirm analytic accuracy.

 

Apply foundational statistical methods (e.g., control charts, variance analysis) to interpret patterns in performance.

 

Participate in project tracking and post-implementation review to ensure solutions deliver measurable business value.

 

Perform other duties as assigned.

Duties Continued

Domain Specific Experience and Skills:

Domain Focus: Authorization & Claims Operations Analytics

Required: Experience with Utilization Management (UM) authorization workflows and prior authorization metrics. 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 Key Performance Indicators (KPIs) (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.

Domain Focus: Network Strategy Analytics

Required: Experience supporting initiatives to optimize cost, access, and quality within provider networks. Experience analyzing provider networks, including contracting, credentialing, and panel optimization. Ability to evaluate network performance metrics and translate findings into actionable insights for strategy and business planning.

Domain Focus: Risk Adjustment Analytics

Required: Experience with risk adjustment methodologies, including Hierarchical Condition Category (HCC) coding, hierarchical models, and member risk scoring. Knowledge of diagnosis documentation, encounter data, and coding completeness to optimize plan revenue and quality scores. Knowledge of regulatory requirements impacting risk adjustment (e.g., Centers for Medicare and Medicaid Services (CMS) guidelines). Ability to assess encounter submission and processing operations, identifying trends, anomalies, or gaps in risk capture across provider or member populations.
 

Domain Focus: Medical Cost Driver Analytics

Required: Experience analyzing medical cost drivers across populations, conditions, and service types. Experience developing dashboards or analytic tools to monitor and optimize medical spend. Knowledge of claims, provider, and condition level analyses to support financial and operation