Top Data Analyst Jobs in Los Angeles, CA

As a Staff Data Analyst at Crunchyroll, you'll lead analytical work to shape content strategy, define measurement frameworks, build data assets, and deliver insights for strategic decisions.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

As a Staff Data Analyst, you will partner with Operations and Product teams to define success metrics, build dashboards, conduct root cause analyses, and deliver data-driven recommendations to improve borrower outcomes.

As a Data Analyst, you'll manage certified data, develop forecasting models, define metrics, and present findings while mentoring junior analysts.

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 Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

Support comprehensive data protection initiatives, triage DLP events, implement data labeling, and assist with investigations and eDiscovery processes.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

The Data Analyst in Digital Finance will collaborate on reporting templates, maintain analytics data, build accounting data pipelines, create dashboards, and support ad hoc data requests.

The Senior Analyst will manage eDiscovery matters, collaborate with teams, develop AI tools, and ensure compliance in legal data processes.

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

The Data Analyst II will manage and analyze international partner and wholesale data, build dashboards, and collaborate with stakeholders to improve reporting and data integrity.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead and enhance Stripe's analytics infrastructure by setting standards, solving complex data challenges, improving data quality, and driving technical vision across teams.

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

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

The Data Analyst will build KPIs and dashboards in Power BI, analyze complex datasets, and provide actionable insights to stakeholders, mentoring junior analysts.

Lead analytical projects, develop quantitative models, analyze datasets for insights, and translate findings into business recommendations, primarily supporting client decision-making.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.

The Senior People Data Analyst will measure organizational health metrics, manage Workday reporting, enable data access, and provide data-driven recommendations.