Top Data Analyst Jobs in Los Angeles, CA

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

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 performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

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

Prepare analyses for Merch & Planning, write intermediate-to-complex SQL against Snowflake, manage Tableau BI (modeling, standards, automated reports), present insights to stakeholders, partner with data engineering, and build scalable analytics solutions to inform business strategy.

Manage and ensure integrity of safety data across systems; implement data governance, ETL, and validation; analyze trends and KPIs; build dashboards and reports; support incident investigations, audits, and cross-functional stakeholders to drive risk-reduction and performance improvement.

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.

Design, develop, and maintain data systems, ETLs, reports, and dashboards to meet delegated and regulatory reporting for Claims and Provider Dispute Resolution. Extract, validate, and analyze data, perform root cause analysis, support dataset architecture, and present findings to stakeholders while ensuring compliance, performance measurement, and change management.

Analyze gameplay telemetry, player feedback, and research findings to identify trends and friction points. Build dashboards and reports, partner with analytics and development teams to ensure telemetry quality, translate complex data into actionable insights, and collaborate with User Research to connect quantitative and qualitative findings to inform design and production decisions.

Analyze large datasets to inform pricing and revenue decisions, build and maintain data models, perform data mining, produce reports and presentations, ensure data quality and governance, and collaborate with cross-functional teams to deliver actionable insights for senior management.

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.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Support data collection, analysis, and reporting for a government care program. Develop data collection tools, identify performance indicators, conduct analysis and visualization (Power BI/Tableau), prepare summaries and presentations, train staff, oversee report quality, and help build data repositories and ETL processes.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Collaborate with business teams to define analytics needs, explore and analyze operational and financial data, build forecasts and regression models, and create dashboards and visualizations. Communicate insights to leaders, support decision-making, contribute to data modeling, metadata, quality remediation, and adhere to data governance, security, and privacy standards.

Lead delivery for Billing and Data teams, manage backlogs, conduct UAT, ensure releases meet standards, and maintain platform knowledge.

Lead GHG inventories and sustainability reporting for real estate clients; manage data collection, onboarding to Conservice's platform, quality-checking, and client communications. Produce analyses (e.g., SB 253, embodied carbon), prepare reports and submissions, collaborate with internal teams and external assurers, and drive process improvements to support sustainability program delivery.

Support Items Master Data Management by collecting, cleansing, and analyzing supply chain product, contract, and pricing data. Build SQL-based reports and dashboards, ensure data quality and governance, support system implementations and migrations, and collaborate cross-functionally to drive standardization and operational improvements.

Own and deliver assigned data products: gather requirements, design data models, build dashboards/reports, define data quality rules, run QA/UAT, mentor junior analysts, and partner with data engineering and governance to enable analytics and process improvements.

Design, build, and maintain analytical datasets and data models on Databricks. Write and optimize SQL and Python notebooks, develop BI dashboards, validate data quality, translate business requirements into reporting, and document data logic while collaborating with engineers, data scientists, and stakeholders.

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

Perform analytics and reporting for e-commerce and retail distribution and transportation. Produce daily/weekly/monthly reports, analyze carrier and warehouse performance, prepare carrier rate tables, support RFPs and carrier recommendations, track freight spend and shipments, and identify supply chain process improvements.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.