Top Data Analyst Jobs in Los Angeles, CA

Support Film & TV Studios analytics by translating stakeholder questions into analytical frameworks, building dashboards and self-service BI, writing advanced SQL, partnering with data engineering for pipelines and data quality, delivering insights through visualization and presentations, and contributing to advanced analytics initiatives including forecasting and ML/AI use cases.

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

Own and maintain the Propel PLM system to ensure accurate product data, BOMs, and integrations with ERP/CRM. Configure workflows, roles, and data structures; validate product and manufacturing documentation; support cross-functional teams; lead PLM projects; drive data quality improvements, user training, and continuous system enhancements to align PLM with production and supply chain operations.

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

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.

Maintain and validate employee data in Workday and other HR systems, run queries and reports, troubleshoot data integrity issues, support ad-hoc HR data requests, and ensure compliance with data privacy regulations to support people analytics and HR initiatives.

Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.

Build AI-powered tools and automated workflows, develop and maintain Python/SQL data pipelines, create reusable analytical frameworks and predictive models for pricing and yield optimization, prototype LLM-driven capabilities, and communicate insights via BI dashboards and client deliverables.

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.

Lead the translation of sales and manufacturing rules into CIS Configurator logic and maintain master data in SAP Business One. Build configurable BOMs and routings, ensure MRP/APS readiness, validate WMS integration, run UAT, perform SQL-based data modeling and root-cause analysis, and document SOPs to ensure accurate order-to-shop-floor execution and margin integrity.

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

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

Build and maintain Snowflake data warehouse and ETL/ELT pipelines, integrate data sources (NetSuite, Jira, portals), own BI layer and dashboards (HEX/Tableau/Looker), ensure data quality and governance, partner with leadership to translate operational goals into data models and insights, and support cross-functional analytics and automation.

As a Data Analyst, you will support senior analysts and business leaders with insights through SQL, dashboard building, and data analysis to influence revenue and retention decisions.

Build, optimize, and maintain large-scale ETL pipelines and data infrastructure to support marketing analytics. Develop automated dashboards and reports with BI tools, write and optimize advanced SQL, process very large datasets, troubleshoot data quality issues, automate campaign reporting, and provide technical leadership and best practices across cross-functional teams.

Build and maintain scalable data pipelines, campaign-ready audience segments, and tracking infrastructure to support targeting, activation, attribution, and performance reporting. Produce automated dashboards, validate data quality, and collaborate with cross-functional teams to deliver campaign analytics and governance.

Analyze large consumer-finance datasets, build reports and dashboards, develop visualizations, write SQL/Python to extract and clean data, support and validate risk models, translate business questions into analytical solutions, and present actionable recommendations to stakeholders and leadership.

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

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.

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

Analyze digital marketing campaigns and leverage data to inform business decisions, drive optimizations, and improve performance metrics.

Collect and analyze data to assess change management and training effectiveness; implement audits; create assessment and trend reports; develop surveys and trainings; lead interviews and focus groups; track corrective actions and timelines; collaborate across departments to recommend and support performance improvements.