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.

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.

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.

Full-time summer intern supporting finance and operations: validate vendor and freight invoices for month-end, assist data analysis and system projects, support process improvements, and collaborate across teams to improve operational efficiency.

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.

The role involves analyzing large datasets to generate insights, measuring business performance, and optimizing processes by collaborating with product owners and internal partners.

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.

Partner with HR, Finance, Operations and IT to build workforce planning analytics and self-service reporting. Extract and join complex data, perform forecasting and deviation analysis, automate dashboards and workflows, and deliver actionable visualizations and scenario-planning tools to inform staffing and scheduling decisions.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The Product Data Analyst at Counterpart Health will analyze product metrics, design experiments, and deliver insights to optimize healthcare outcomes and support primary care.

The Data Analyst Consultant will analyze data, generate insights, automate reporting, and communicate findings effectively, supporting strategic initiatives.

The Data Analyst will document data definitions, create dashboards, manage datasets, assist with UAT, and support data flow validation for business analytics.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

Partner with Product leadership to build scalable Snowflake data models, run behavioral and funnel analyses, design A/B tests and predictive models, and translate insights to influence roadmap and product strategy.

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.