Top Data Analyst Jobs in Los Angeles, CA

The Senior Business Data Analyst will design analytical tools, define KPIs, and create dashboards to support data-driven decisions across the organization.

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

As a Business Intelligence Analyst at Doximity, you'll analyze complex datasets, create client-facing analyses, automate data processes, and collaborate with teams to improve healthcare insights.

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

The role involves developing BI pipelines, collaborating with various teams for regulatory data delivery, ensuring data integrity, and monitoring regulatory changes.

The Data Analyst will build and maintain data solutions for regulatory reporting, working with Legal, Compliance, Risk, and Engineering teams to ensure data accuracy, integrity, and compliance with regulations.

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 Analyst, Sales Operations is responsible for analyzing sales data, driving efficiencies, managing the sales pipeline, and collaborating across departments to enhance profitability and effectiveness.

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 Staff Data Analyst will analyze customer data to provide insights, create dashboards, report on customer health, and support decision-making for operations teams.

The Senior Billing Data Analyst will analyze billing data, build dashboards, investigate issues, and provide insights to improve billing operations and customer experience.

Conduct investigations into illicit activities on blockchain, analyze exploit methodologies, develop detection methods, and collaborate with teams to improve security posture.

The Data Analyst will develop insights and dashboards on customer behavior, collaborating with cross-functional teams to enhance product usage analytics and drive strategic improvements.

The Staff Data Analyst will facilitate data-driven decision-making, collaborate with various teams, build data solutions, and mentor team members to enhance analytics capabilities at Jellyfish.

The Senior Data Analyst will develop analytics infrastructure, manage data quality, and collaborate with teams to provide insights for business decisions.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

As a Data Analyst, you'll drive innovation through data insights to support decision making and contribute to business growth.

As a Data Analyst, you will drive innovation and growth by transforming data into actionable insights, helping to improve decision-making and business outcomes.

Assist in data collection and analysis, perform SQL queries, collaborate on data needs, and document methodologies while supporting analytics tools maintenance.

As a Data Analyst Intern, you will assist in data collection, organization, preliminary analysis, and produce insights through SQL queries and collaboration with teams.

This role involves collaborating to improve game metrics, analyzing player behavior, designing ETL pipelines, and ensuring data integrity to enhance user experience.

The Senior Data Analyst will generate insights from data sets, optimize user engagement, and support business initiatives through analysis and reporting.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

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