Top Data Analyst Jobs in Los Angeles, CA

As a Staff Data Analyst, you will lead high-impact analytics to shape content strategy, build data assets, and improve audience engagement and retention.

The Data Analyst will analyze multi-source data to provide insights that drive business decisions, build dashboards, and develop ETL processes for performance tracking.

The Data Analyst I will analyze data, identify trends, and provide insights to improve decision-making, using tools like SQL and Python.

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.

The Senior Marketing Data Analyst will develop reporting frameworks, analyze data to support Product Led Growth, and create dashboards for stakeholders.

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.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

The role involves analyzing large datasets to generate insights, measuring business performance, and optimizing processes by collaborating with product owners and internal partners.

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.

As a Staff Data Analyst, you'll lead credit analytics initiatives, mentor juniors, collaborate with cross-functional teams, and enhance Upstart's lending strategies using data-driven insights.

The Sales Data Analyst will design and distribute sales reports, conduct exploratory data analysis, optimize dashboards, and visualize data to support business decisions.

The Data Analyst will manage financial data integrity, system support, reporting, and process improvements, collaborating with Finance and IT teams.

The Senior Data Analyst will enhance CRM and Lifecycle initiatives through data analysis, campaign design, and experimentation, driving user engagement and business outcomes.

The Business Data Analyst conducts quantitative analyses, delivers data-driven insights, creates visualizations, and ensures data security while supporting the university's strategic objectives.

The Senior Data Analyst will drive data-driven insights to shape business strategies, collaborate with teams, and enhance analytics frameworks. Responsibilities include leading analytics projects, designing dashboards, and providing actionable insights for merchandising.

The Senior Data Analyst will lead analytics projects, deliver actionable insights, and enhance the member experience through data-driven recommendations and collaborations with stakeholders.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.

The role involves migrating client data from various platforms to Salesforce and Envestnet, ensuring data integrity and accurate reporting.

The Lead Analyst will drive data strategy, manage analytics projects, partner with cross-functional teams, and enhance data-driven decision-making through insights.

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

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.

As a Data Analyst at Cribl, you will support analytics across teams, perform data analysis and visualization, and ensure data reliability.