Top Data Analyst Jobs in Los Angeles, CA

Support Film & TV Studios analytics by partnering with stakeholders and engineering to analyze large datasets, build scalable dashboards and self-service BI, write advanced SQL, ensure data quality and pipeline readiness, and communicate insights. Drive adoption of enterprise analytics, contribute to forecasting, audience insights, experimentation, and ML-enabled use cases across marketing, distribution, finance, and business development.

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 will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

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

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

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.

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 target audiences, prioritizing voting sites, running A/B test-ready segments, producing timely analyses and reports, and building automated processes and dashboards to surface real-time insights for program teams.

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.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Build and maintain marketing dashboards and reporting frameworks, analyze multi-source marketing data to identify trends and opportunities, develop measurement and attribution approaches, ensure data quality and metric alignment, and deliver actionable insights and ad hoc deep-dive analyses to inform campaign optimization and marketing investment decisions.

Data Analyst Level II responsible for analyzing data, generating reports, and providing insights based on findings. Flexible shifts available.