Top Data Analyst Jobs in Los Angeles, CA

The role involves data structuring, analysis, report generation, and collaboration to optimize supply chain strategies. Travel is required.

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

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 Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

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

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

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 Marketing Operations Data Analyst will build dashboards, automate reporting, and analyze data to optimize marketing decisions and improve processes.

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

The Strategic Data Analyst drives MSSP business growth through data analysis, predictive modeling, program leadership, and cross-functional collaboration to enhance decision-making and partner success.

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 Sr. Data Analyst will deliver actionable insights to stakeholders, develop predictive models, and support data-driven growth by analyzing diverse datasets.

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

The Data Analyst II will handle complex data requests and reports, perform data analysis, create visualizations in Power BI, and assist in training lower-level analysts.

Lead the data analysis team in data migration and integration projects, developing data quality standards and generating analytics reports to support decision-making.