Top Data Analyst Jobs in Los Angeles, CA

The role involves data workflow management, analysis, reporting, and cost analysis to support manufacturing decisions and performance improvements.

The Business Data Analyst will design and maintain analytical tools and metrics, translate business needs into data-driven insights, and enable strategic decision making through effective data visualization and storytelling.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

As a Lead Data Analyst, you'll leverage data insights to drive business outcomes, partner with departments on data needs, and create dashboards and tools using various technologies.

The Lead Product Data Analyst will drive data-informed decision-making across teams, build data products, and collaborate with stakeholders while leveraging analytics tools like Amplitude and AI technologies.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.

The Senior Emerging Risk Data Analyst will develop data strategies, extract insights using SQL/Python, create dashboards, and present findings to leadership.

As a Data Analyst at Zynga, you'll enhance gameplay through analytics, A/B testing, and develop ETL pipelines to manage player data effectively.

The role requires providing data insights and analysis for the Emerging Risk team, developing data strategies, and automating reporting frameworks.

The Lead Data Analyst will deliver business intelligence and strategic insights to drive revenue growth at Launch Potato, managing data and collaborating with various teams.

The User Acquisition Data Analyst will analyze marketing datasets, maintain dashboards, conduct statistical analyses, and inform user acquisition strategy for mobile gaming.

The Senior Data Analyst will partner with leadership across functions to drive strategic insights by analyzing data, managing projects, and influencing decision-making.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

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

The Sr. Partnership Data Analyst aggregates and analyzes data for partnership insights, creates reports, and collaborates with various teams for revenue optimization.

The Data Analyst will gather, clean, and analyze data, create dashboards, and provide insights to support business decisions.

The Marketing Data Analyst will aggregate, analyze, and transform marketing data to inform campaign strategies and measure performance, while collaborating with stakeholders and ensuring data quality.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

The role involves designing and maintaining Tableau dashboards, developing data engineering solutions using Microsoft technologies, and mentoring junior resources.

The AML Data Analyst ensures compliance with AML regulations by analyzing financial transactions, conducting risk assessments, and developing detection strategies. Responsibilities include updating procedures, training clients, and enhancing monitoring capabilities.

The role involves data and business analysis in the AML domain, focusing on data mapping, transformation logic, and collaboration with development teams to ensure accurate implementation of business requirements.

The Data Analyst will extract, analyze, and visualize data to provide actionable insights for the Operations team, improving reporting systems and data quality.

The Data Analyst will analyze large datasets in structured finance, ensuring accurate reporting, compliance, and direct client communication while enhancing technical skills.

The Data Analyst II will lead data warehouse projects, analyze data relationships, create data models, mentor junior analysts, and report risks.