Top Data Analyst Jobs in Los Angeles, CA

Support Boeing Global Services Commercial Modifications by developing and maintaining Tableau and Power BI dashboards, building API-driven ETL/data pipelines, cleaning and validating data, creating PMO reporting templates, tracking KPIs and scorecards, and collaborating with cross-functional teams to improve data quality and reporting efficiency.

Lead monitoring and optimization of programmatic ad campaigns using real-time and historical data. Diagnose performance issues, design A/B and multivariate experiments, partner with AdOps and Data Science to operationalize ML-driven solutions, and drive automation of campaign decisioning to scale revenue and efficiency.

Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.

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.

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.

Build and maintain HR dashboards, ensure data accuracy, develop data pipelines, analyze workforce trends (headcount, attrition, DEI, engagement), partner with leaders on hiring and retention, evaluate people programs, automate reporting, and improve HR data architecture and governance.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

Deliver analyses, dashboards, and datasets that inform GTM and Operations. Build and maintain BI dashboards, perform ad hoc analyses, enable self-serve analytics, and collaborate with data/engineering using modern data stack tools.

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.

Serve as a brand-focused data storyteller supporting global quality, safety, and sustainability. Perform data analysis, create visualizations and dashboards (Tableau), present insights to stakeholders, mentor colleagues, propose dashboard enhancements, and manage multiple projects to drive product quality improvements. Occasional domestic travel.

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

As a Principal Analyst in Growth Marketing, you will lead analytics for acquisition channels, applying advanced analytical techniques to drive business growth and improve marketing performance while collaborating across teams.

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.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Lead analytics work across revenue, product, customer, and operations by building dashboards, conducting deep-dive analyses, defining metrics and reporting standards, validating data quality with Data Engineering, and using AI tools to automate reporting and accelerate insights. Communicate findings to technical and non-technical stakeholders and proactively surface trends and opportunities.

Own end-to-end enrollment data lifecycle: process and validate HIPAA 834/X12 files, perform data quality audits, enter and maintain member records, run SQL queries for cleanup, collaborate with engineering and operations to remediate data issues and support compliance reporting (ACA/CMS).