Top Data Analyst Jobs in Los Angeles, CA

Support Boeing BGS Commercial Modification by developing and maintaining Tableau and Power BI dashboards, administering Smartsheet solutions, collecting/cleaning/validating data, building API-driven ETL pipelines, creating standardized reports and KPIs, analyzing trends for program reviews, and collaborating cross-functionally to improve data quality and reporting automation.

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.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

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.

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

Senior Data Analyst supporting Boeing Global Services in Long Beach. Build and maintain Tableau and Power BI dashboards, administer Smartsheet tracking, develop ETL and API-driven data pipelines, clean and validate multi-source data, create standardized reporting and KPIs, analyze trends for program reviews, support maturity assessments and scorecards, and collaborate with cross-functional teams to improve data quality and automation.

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

Produce and validate external funder reports and maintain internal dashboards and KPI analyses across LA and Inland Empire. Build recurring submissions, manage reporting calendar, pre-validate data quality, document methodologies, and deliver ad-hoc analyses to inform program and leadership decisions while ensuring FERPA and data-sharing compliance.

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 Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

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

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL and ad hoc analyses, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog, set data quality and governance practices, define SLAs, improve analytics performance, and mentor junior analysts.

Collects, reconciles, analyzes, and organizes information from multiple sources for the US Marshals Service. Performs accurate data entry, maintains case files, prepares reports and documents, tracks case status, coordinates information requests, and provides timely status updates while supporting mission-driven law enforcement asset forfeiture operations.

The Data Analyst will analyze game performance, provide actionable insights, build dashboards, conduct A/B tests, and collaborate with the LiveOps team to optimize game outcomes.

The role involves building and scaling a Closed-Loop Design Program that enhances pre-sales engineering through data science and analytics in supply chain automation.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

The Data Analyst will analyze caller behavior data, design Tableau reports, and provide insights to improve customer experience in IVR applications.

The Senior Marketing Data Analyst at Jamf will analyze marketing performance, optimize demand generation, and drive data-informed decision-making, utilizing expertise in DOMO, Salesforce, and SQL to develop dashboards and reporting capabilities.

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.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.