Top Data Analyst Jobs in Los Angeles, CA

The Data Analyst will leverage data to answer business questions, develop insights, build dashboards, and improve reporting workflows, collaborating with various teams.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

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.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Staff Data Analyst will lead compliance analytics efforts, develop data strategies, and communicate insights related to compliance and regulatory engagements, focusing on the financial crimes and AML domain.

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 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.

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

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

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.

Aggregate and analyze data across departments to produce reports, dashboards, and insights. Collaborate with ticketing, marketing, CRM, partnerships, and digital teams, validate data, prototype visualizations, and present findings to leadership to improve revenue and efficiency.

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 Senior Customer Operations Data Analyst, you will analyze customer support data to enhance decision-making, improve user experience, and drive insights across the Customer Support function.

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 financial reporting, analysis, and ensuring adequate controls in a business unit, including complex data interpretation and assisting in risk management.

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.

Collect, clean, and manage data from diverse sources; perform statistical analyses to identify trends; build visualizations and dashboards (Tableau/Power BI); collaborate with cross-functional teams to define KPIs; monitor metrics to detect anomalies and support data-driven decisions.

As a Senior Data Analyst II, you will support growth initiatives by analyzing revenue metrics, automating workflows, and providing insights to drive customer success.

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.

Collect, analyze, and interpret complex data; develop and maintain databases, data systems, and processes; create reports, dashboards, and visualizations; collaborate with stakeholders and data teams; build data and statistical models; stay current with tools and industry trends.