Top Data Analyst Jobs in Los Angeles, CA

The Recruiting Data Analyst will enhance recruitment analytics, streamline operational processes, develop dashboards, and collaborate with teams to drive efficiency and data integrity.

As a Data Analyst, you will analyze healthcare data, collaborate with cross-functional teams, and provide insights to improve healthcare services.

The Data Analyst II will support RCM by building reporting infrastructure, developing dashboards, and maintaining data consistency to improve revenue collection processes at Spring Health.

The Staff Data Analyst will support Operations leaders with analytics projects focusing on enterprise applications, optimizing systems, and providing data-driven insights.

The Senior Claims Data Analyst transforms claims data into insights, manages data extraction, develops reports and visualizations, and collaborates across teams.

Assist in analyzing user behavior, running A/B tests, and providing product insights while working closely with the founding team.

The Lead Business Analyst will enable data-driven decision-making by building analytical tools, defining KPIs, and translating data insights into actionable business strategies.

This role involves analyzing customer data, developing insights to improve product and revenue strategies, and mentoring other analysts.

Assist in data collection, perform preliminary analyses, run SQL queries, and support the documentation and maintenance of analytical tools.

The Environmental Data Analyst will perform spatial and statistical analyses, manage workflows, and support projects in urban forestry and environmental data science.

Assist in data collection and organization, perform preliminary analysis, write SQL queries, and document methodologies for transparency in data analytics.

The Data Analyst will analyze data from diverse sources, deliver insights and visualizations, and collaborate with account managers and data scientists for client deliverables.

The Data Analyst will analyze energy use and project performance data to provide insights and recommendations aimed at optimizing energy project outcomes for clients like DOE and NASA.

As a Staff Data Analyst at Upstart, you will lead compliance analytics, build data infrastructure, support decision-making, and collaborate with cross-functional teams to enhance compliance processes.

As a Data Analyst, you will analyze datasets to derive insights on listener behavior, collaborate with teams, and present recommendations.

The Senior Data Analyst drives insights for P&C insurance solutions, using SQL and analytics to enhance underwriting and claims, supporting business growth and strategic decision-making.

Lead data analytics efforts across eCommerce, Retail, and more. Build infrastructure, clean data, develop KPIs, and automate reporting.

As a Data Analyst, you will design custom reports, collaborate on complex problems, optimize data processing scripts, derive insights, and communicate findings effectively to stakeholders.

The Data Analyst will leverage marketing and ecommerce data to create reports, dashboards, and conduct analyses to inform product and marketing strategies.

The Senior Data Analyst will analyze user behavior, support A/B tests, communicate insights, and build analytics products to drive strategic decisions.

Analyze and validate residual partner payments, referral fees, and financial obligations while ensuring accurate reporting and collaboration across teams.

The Senior Data Analyst will develop automated reports, analyze data using SQL and Tableau, mentor team members, and collaborate with cross-functional teams to improve business outcomes through data-driven solutions.

As a Data Analyst, you'll support teams with insights, build dashboards, perform analyses, and drive data-driven decision making across the company.

The Data Analytics Engineer will develop data pipelines, optimize data models, enhance analytics capabilities, ensure data governance, and collaborate with teams to drive business insights.

As an AI Data Analyst, you'll evaluate AI model performances, curate datasets, and enhance system interactions through detailed data analysis and cross-team collaboration.