Top Data Analyst Jobs in Los Angeles, CA

Lead analytics projects across Film & TV studios, translating business questions into scalable reports and dashboards. Build and maintain BI solutions, write advanced SQL to extract and validate large datasets, work with engineering on data pipelines and quality, and communicate insights via visualization and presentations. Support forecasting, audience insights, experimentation, and ML/AI initiatives while advancing enterprise analytics adoption.

Drive enterprise BI and analytics: partner with Data Engineering to improve data quality, align analyses to product and business strategy, produce audience-focused storytelling and recommendations, detect statistically significant trends, and support cross-functional teams to enable data-driven decisions at petabyte scale.

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.

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

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.

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.

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.

Senior Data Analytics Consultant who turns observability data into business insights for enterprise clients. Manage 4–8 accounts, present performance strategies to technical and executive audiences, perform ad-hoc analysis, configure Dynatrace, build reports and dashboards, enable clients, influence product roadmap, and improve internal processes. Occasional client and annual team travel required.

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

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.

Provide quantitative analysis and data-driven insights to executive leadership. Extract, transform, and validate data; build visualizations, dashboards, and ad-hoc reports using Tableau, Power BI, Power Query, and Excel; ensure data security and compliance; collaborate with operational units to inform strategic decisions.

As a Data Analyst, you'll drive innovation through data insights to support decision making and contribute to business growth.

As a Data Analyst, you will drive innovation and growth by transforming data into actionable insights, helping to improve decision-making and business outcomes.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.

The Sales Data Analyst is responsible for collecting, analyzing, and reporting sales data to enhance productivity, create reports, and maintain data integrity in Salesforce.

Extract, analyze, and map client data from legacy relational databases into Bloomerang systems. Export data, create and test data maps and code, document processes, report data issues, and support conversions while collaborating with engineers and project managers. Work on entry-level conversions and become a subject-matter expert on migration best practices and Bloomerang capabilities.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

Lead growth analytics for acquisition and activation funnels: measure channel performance, build data models and KPI reporting, run experiment analysis, and translate insights into business recommendations. Partner with Growth product team and leadership to visualize results and drive strategy.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Design, develop, and deliver analytics and BI products on Palantir Foundry integrating Appian and VA financial systems. Build dashboards, data models, and data quality monitoring; translate stakeholder requirements into KPIs and visualizations; support pipeline design, documentation, and training for VA acquisition and financial analytics.

Design and implement end-to-end SQL data pipelines and R/Python/SAS statistical analyses for HEOR/RWE observational studies using Komodo's Healthcare Map. Validate and document analyses, apply epidemiologic methods and advanced statistical techniques, produce publication-ready deliverables, and present results to stakeholders while maintaining version control and reproducible research practices.