Top Data Analyst Jobs in Los Angeles, CA

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL and ad hoc analyses, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog, set data quality and governance practices, define SLAs, improve analytics performance, and mentor junior analysts.

Lead encounter data operations: monitor submissions, correct rejected encounters per CMS/DHCS, write SQL queries and ad hoc scripts, generate reconciliation reports, analyze trends and root causes, validate EDI 837 resubmissions, manage relationships with health plans and clearinghouses, update documentation and training, and lead special projects to improve finance-related encounter workflows.

Collects, reconciles, analyzes, and organizes information from multiple sources for the US Marshals Service. Performs accurate data entry, maintains case files, prepares reports and documents, tracks case status, coordinates information requests, and provides timely status updates while supporting mission-driven law enforcement asset forfeiture operations.

The Data Analyst will analyze game performance, provide actionable insights, build dashboards, conduct A/B tests, and collaborate with the LiveOps team to optimize game outcomes.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

Support randomized control trials and A/B tests for Party at the Polls: maintain experimental data tables, prepare samples, analyze results (pre/post-election), prioritize sites, and produce reports and timely program performance analysis.

The Senior Analyst will manage eDiscovery matters, collaborate with teams, develop AI tools, and ensure compliance in legal data processes.

Support large-scale voter contact programs by building and maintaining clean data tables, creating audiences and A/B test groups, prioritizing sites, delivering timely analysis and reports, and automating dashboards and processes to surface real-time insights for program teams.

Analyze customer implementation and product usage to identify drivers of adoption, retention, and expansion. Build dashboards, quantify configuration and workflow impacts, surface deployment friction, and partner with Product, Sales, and Customer Success to create evidence-based playbooks and metrics that inform roadmap and go-to-market strategies.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

Design and deliver reusable supply-chain analytics products and persona-based dashboards using the modern data stack. Partner with operations and customers to prioritize requests, leverage AI to accelerate analysis, and tie insights to measurable business outcomes. Support data maturity, integration, and agile product delivery.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

The Workday Reporting & Data Analyst will design and optimize reporting solutions, enhance data accuracy, and deliver insights through Workday and Power BI while collaborating with HR leaders.

Lead clinical performance and outcomes reporting across facilities; analyze and distribute clinical data to support quality improvement, decision making, and resource utilization. Provide analytic leadership, train users, liaise with vendors, develop reporting processes, and support facility and enterprise quality and safety goals.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

Manage and analyze healthcare and customer data across systems; validate and reconcile claims, enrollment, and roster files; build dashboards and customer-facing reports; support data movement (Salesforce, Healthie), identify automation opportunities, and partner with cross-functional teams to document workflows and drive analytics.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.