Top Data Analyst Jobs in Los Angeles, CA

The role involves developing analytical tools, improving data accessibility, performing data analysis, and fostering collaboration between business and technical teams.

As a Marketing Data Analyst, you'll analyze marketing datasets, build dashboards, conduct statistical analyses, and collaborate with teams to drive growth in digital gaming.

The Data Analyst role involves translating business needs into data solutions, maintaining reports, analyzing A/B tests, and ensuring data integration workflows for strategic insights.

The Supply Chain Business Data Analyst will manage supply chain and production systems, develop reporting, support ERP tasks, and interface with leadership.

The Data Analyst will build dashboards, create SQL queries, and improve performance tracking for the Technical Content team.

The Senior Business & Data Analyst role focuses on building dashboards, conducting financial analysis, and supporting vendor management across various teams to enhance operational efficiency and product health.

The Data Analyst IV will drive marketing performance by analyzing data across funnels, optimizing media spend, and developing reporting frameworks while collaborating with cross-functional teams.

The Senior Data Analyst will develop metrics frameworks, optimize reporting pipelines, and provide actionable insights through data analysis using SQL and Tableau.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.

The Data Analyst will develop and maintain SQL reporting views, optimize database performance, ensure data governance, and collaborate with engineers to meet reporting requirements.

The Data Analyst performs workflow and data analysis, manages business intelligence infrastructure, and leads performance metrics while providing technical guidance.

Manage data for capital projects, provide project management support, validate data accuracy, and prepare financial reports.

As a Senior Data Analyst, you will partner with business teams to define analytics roadmaps, develop visualizations and dashboards, perform complex data analysis using SQL, and improve the data analytics platform.

The role involves analyzing subscription data, defining performance metrics, collaborating across teams, and presenting actionable insights to drive strategy for subscriptions.

The Marketing Data Analyst will analyze consumer behavior, evaluate TV's impact on digital performance, and present insights to enhance brand strategy.

As a Principal Marketing Data Analyst, you'll drive data insights for channel decisions, develop dashboards, and maintain data pipelines, empowering the marketing team to enhance performance.

The Data Analyst will support operational planning, improve forecasting accuracy, and collaborate on data requirements while analyzing business performance.

The Data Analyst Lead will oversee the analytics team, perform advanced data analysis, manage tasks, mentor junior analysts, and drive data strategy.

The role involves building and maintaining dbt models, enhancing customer reporting tools, and collaborating on analytics solutions within a data team.

Analyze and calculate partner payments and referral fees by interpreting agreements and processing transaction data using Excel and data visualization tools.

The Data Analyst will analyze customer behavior to improve retention, develop dashboards, and drive data-driven decisions on marketing strategies.

Optimize monetization for publisher partners by analyzing complex data sets, producing actionable insights, and enhancing yield performance through data-driven strategies.

Design, implement, and track risk prevention policies using data analytics. Collaborate with experts to analyze data and develop data-driven strategies to mitigate risks.

The BI Data Analyst transforms data into insights for business value, develops BI solutions, analyzes datasets, and delivers reports and dashboards.

The Data Quality & Integration Analyst will manage healthcare data integration and quality processes, ensuring high-quality data for healthcare customers and supporting value-based care initiatives.