Top Data Analyst Jobs in Los Angeles, CA

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 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 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 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.

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.

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

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.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

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

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

Support product, finance, and operations stakeholders by writing SQL, building dashboards, analyzing A/B tests, automating reporting, and producing data-driven recommendations to improve revenue, retention, and platform health.

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

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The Lead Data Analyst will manage analytics workflow, synthesize data, create visualizations and dashboards, and communicate insights to support decision making across teams.

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

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.