Top Data Analyst Jobs in Los Angeles, CA

As a Staff Data Engineer, you will lead data engineering initiatives, architect and build scalable data pipelines, and mentor teams, enhancing Crunchyroll's data infrastructure within AWS and GCP environments.

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, 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.

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.

Optimize publisher monetization by analyzing bidstream and auction data, building monitoring/alerting systems, running A/B tests, performing root-cause analyses, and producing actionable insights for cross-functional teams to maximize yield and revenue.

The Data Analyst will perform advanced data modeling and analysis, manage data collection systems, and communicate findings to stakeholders, driving data-informed business decisions.

The Data Analyst will build dashboards, perform ad-hoc analyses, ensure data integrity, and collaborate across teams to refine data insights and enhance reporting.

The Data Analyst 2 supports the Nordstrom Product Group by designing and building LookML data models to provide insights, improve decision making and drive business value.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

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.