Top Data Analyst Jobs in Los Angeles, CA

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.

Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.

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.

As a Data Analyst, you'll clean and analyze survey data, use statistical software, automate procedures with programming, and communicate findings effectively.

Build and maintain HR dashboards, ensure data accuracy, develop data pipelines, analyze workforce trends (headcount, attrition, DEI, engagement), partner with leaders on hiring and retention, evaluate people programs, automate reporting, and improve HR data architecture and governance.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

Deliver analyses, dashboards, and datasets that inform GTM and Operations. Build and maintain BI dashboards, perform ad hoc analyses, enable self-serve analytics, and collaborate with data/engineering using modern data stack tools.

Maintain and validate employee data in Workday and other HR systems, run queries and reports, troubleshoot data integrity issues, support ad-hoc HR data requests, and ensure compliance with data privacy regulations to support people analytics and HR initiatives.

Serve as a brand-focused data storyteller supporting global quality, safety, and sustainability. Perform data analysis, create visualizations and dashboards (Tableau), present insights to stakeholders, mentor colleagues, propose dashboard enhancements, and manage multiple projects to drive product quality improvements. Occasional domestic travel.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.

The Data Analyst will analyze data using Google BigQuery and Generative AI, optimize queries, create visualizations, and ensure data quality for strategic decisions.

As a Data Analyst Intern, you will collect, analyze, and interpret data, create visualizations, and support reporting efforts to drive business decisions.

Own end-to-end enrollment data lifecycle: process and validate HIPAA 834/X12 files, perform data quality audits, enter and maintain member records, run SQL queries for cleanup, collaborate with engineering and operations to remediate data issues and support compliance reporting (ACA/CMS).

Lead data strategy for Stripe's risk product, design metrics and frameworks, manage data reliability, mentor analysts, and evaluate risk experimentations.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

Lead development of scalable enterprise analytics and data stewardship. Perform advanced data analysis, assess data quality and lineage, define cleansing strategies, manage metadata and business glossary, support enterprise data warehouse and analytic product backlogs, and collaborate with cross-functional teams to enable self-service and advanced analytics.

Collect, cleanse, and analyze finance-related data; design and maintain Power BI dashboards and reporting environment; ensure data quality and master data management; support data warehouse and reporting requirements; automate processes using Power Automate and AI tools; collaborate with finance and cross-functional teams to deliver actionable insights and troubleshoot reporting issues.

Run funnel audits and synthesize multiple datasets into exec-ready narratives. Recommend and help launch A/B tests, benchmark against genres and market data, partner with game analysts and ETL engineers to validate and maintain clean data, and provide actionable UA, monetization, and live-ops recommendations to customers.