Top Data Analyst Jobs in Los Angeles, CA

Design and deliver complex BI solutions and analytics to support Medicare risk adjustment programs. Build dashboards, reports, and data marts using SQL, Snowflake, and ETL (SSIS); apply advanced analytics and scripting (Python/Batch); gather requirements, perform testing and peer reviews, lead project/functional teams, and collaborate with DBAs, data modelers, and system admins to implement data strategy and solutions.

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.

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.

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.

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.

Collect, clean, validate, and analyze data to identify trends and business opportunities. Create reports and dashboards (Excel, SQL, Power BI/Tableau), monitor KPIs, document data sources/processes, and present insights to stakeholders while collaborating across teams.

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.

The Data Analyst will analyze data to provide insights for product and team growth, build dashboards, conduct A/B tests, and collaborate with multiple teams to influence product strategy.

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

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 global Quality, Safety, and Sustainability brands by analyzing data, creating visual stories and dashboards (Tableau), presenting insights to stakeholders, mentoring teams, and managing multiple analytics projects to drive product quality improvements.

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.

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 perform data analysis, validation, and quality assessments, support MDM implementations, and collaborate with stakeholders to ensure accurate master data.

Perform advanced data extraction and statistical analysis using SQL, SAS, R or Python; develop reports, KPIs, and dashboards; mentor team members; communicate findings to business partners and support operational decision-making.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Own people analytics for recruiting and HR: define metrics and data model, build dashboards and reports, ensure data quality and governance, run ad-hoc and deep-dive analyses, and partner with engineering and People leadership to scale People data and AI tooling.

Support solution architecture by analyzing current-state processes, data flows, interfaces, and reporting needs; produce data mappings, conceptual/logical models, ER summaries, interface inventories, and stakeholder-ready documentation to inform modernization, integration, governance, and release readiness across vendors and Scrum teams.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Assist Technical Instructor with hands-on IT training and classroom facilitation, lead study groups, monitor and support learner performance, enter learner data in LMS/Salesforce/Canvas, enforce program policies, and help maintain training equipment and materials.

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.

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.