Care Delivery Analytics Data Analyst II

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Job Category:
Administrative, HR, Business Professionals

Location:

Los Angeles, CA, US, 90017

Position Type:
Full Time

Requisition

Salary Range:$77,265.00(Min.) -$(Mid.) -$(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.

The Care Delivery Analytics 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 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.

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.

Bachelor's Degree

In lieu of degree, equivalent education and/or experience may be considered.

Master's Degree

Required:

At least3 years of experience in analytics, data management, or reporting, preferably within healthcare, managed care, or a related industry.

Hands-on experience with SQL, reporting tools (Tableau, Power BI), and operational dashboards.

Experience in one or more domains (Authorization & Claims, Population Health, Quality, etc.) at a functional or project level.

Experience analyzing community supports, care management, health education, Managed Long-Term Support Services (MLTSS), and intervention programs.

Experience translating data into actionable insights to guide interventions, resource allocation, program improvements, and new ideas for member programs based on population needs.

Preferred:

Experience in health plan operations or managed care analytics.

Experience participating in enterprise reporting or dashboard projects with governance standards.

Experience understanding and responding to ongoing California Department of Health Care Services (DHCS) requirements for various programs, such as CalAIM.

Required:

Proficient in SQL for complex exploratory analysis and foundational Extract, Transform, and Load (ETL) work to support dashboards, reports, and analytic deliverables. Working knowledge of Tableau for building standard visualizations and dashboards. Knowledge of version control tools (e.g., Git, Git Hub) and collaborative development workflows. Implement and maintain version control, peer review (pull request), and continuous integration practices for analytic codebases.

Ability to conduct analyses to identify trends, patterns, and opportunities across organizational data. Ability to translate business questions into structured requirements and actionable insights. Ability to apply descriptive statistics and basic trend analysis to support operational decision-making. Knowledge of general operations and performance drivers in a complex, data driven organization. Ability to use Jira or Atlassian tools for task tracking and coordination within analytics projects.

Ability to communicate findings effectively to business partners with varying technical backgrounds. Ability to work on multiple assignments simultaneously, prioritize tasks and know when to elevate issues. Ability to work under challenging deadlines. Ability to evaluate population level outcomes and operational performance metrics. Knowledge of population health management frameworks and social…