Top Data Analyst Jobs in Los Angeles, CA

Support Film & TV Studios analytics by translating stakeholder questions into analytical frameworks, building dashboards and self-service BI, writing advanced SQL, partnering with data engineering for pipelines and data quality, delivering insights through visualization and presentations, and contributing to advanced analytics initiatives including forecasting and ML/AI use cases.

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

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.

Lead the translation of sales and manufacturing rules into CIS Configurator logic and maintain master data in SAP Business One. Build configurable BOMs and routings, ensure MRP/APS readiness, validate WMS integration, run UAT, perform SQL-based data modeling and root-cause analysis, and document SOPs to ensure accurate order-to-shop-floor execution and margin integrity.

Provide data-driven insights for mass tort and product liability litigation by building predictive models, financial projections, and dashboards; manage litigation portfolios, collaborate with attorneys and finance, and translate analytics into strategic recommendations to guide case valuation, settlement strategy, and practice profitability.

Support global Quality, Safety, and Sustainability brands by analyzing data, creating visual stories and dashboards (Tableau), presenting insights to stakeholders, mentoring teams, and managing multiple analytics projects to drive product quality improvements.

Own people analytics for recruiting and HR: define metrics and data model, build dashboards and reports, ensure data quality and governance, run ad-hoc and deep-dive analyses, and partner with engineering and People leadership to scale People data and AI tooling.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

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.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

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.

Design, build, and maintain Looker/LookML reporting and dashboards; partner with stakeholders to gather requirements; write performant SQL and dbt models; ensure data quality and documentation; analyze large datasets and deliver insights; grow into data engineering tasks (pipelines, orchestration, integrations).

Collects and organizes information for user manuals, training, installation guides, proposals, and reports. Edits functional descriptions and system specifications. Prepares and maintains systems, programming, and operations documentation and procedures. Maintains internal documentation library, supports financial/administrative tasks, coordinates documentation services, and works with Agile teams in a secure remote environment supporting government projects.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

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.

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.

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

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.

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.

Lead Consumer Lending decisioning analytics across credit card, HELOC, and personal lending. Translate business needs into analytical approaches, perform hands-on analysis and validation, oversee and mentor junior/offshore analysts, partner with stakeholders, and drive automation, model monitoring, and process improvements to scale analytics capabilities.

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.

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.