Top Data Analyst Jobs in Los Angeles, CA

Analyzes logistics, inventory, fulfillment, transportation, and distribution data for an omni-channel pet product network. Develops dashboards, scorecards, and reports; identifies performance gaps and root causes; supports inventory, replenishment, capacity, and demand planning; validates ERP and WMS data; coordinates shipments with distribution centers, vendors, and carriers; and recommends process improvements to enhance delivery performance, cost efficiency, compliance, and operational effectiveness.

Maintains provider demographic, contract, location, roster, and termination data across enterprise systems. Processes updates, validates records, conducts audits, generates reports, resolves provider and claims-related discrepancies, investigates payment issues, and supports regulatory compliance, system enhancements, and process improvements. Collaborates with Claims, Credentialing, Finance, Customer Service, Network Management, and external providers to ensure accurate provider information, claims processing, payments, and provider network operations.

Lead finance data governance, quality validation, reconciliation, SOX control execution, audit support, and finance-system integration initiatives. Define data standards, lineage, controls, and validation criteria across ERP, subledger, reporting, and interface environments. Partner with Accounting, Finance, Technology, and business teams on requirements, testing, cutover, defect resolution, change management, and post-production validation to ensure accurate, complete, traceable, and reliable financial data.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Extracts, transforms, and loads data from diverse sources; develops Power BI dashboards and reports; maintains data governance, quality, lineage, metadata, security, and retention practices; documents ETL processes, APIs, and reporting solutions; trains stakeholders; troubleshoots data pipelines; and identifies opportunities for automation and process improvement.

Supports enterprise data catalog development by profiling datasets, documenting definitions, and labeling data. Engineers and tests features improving AI and machine-learning model accuracy across business functions, and designs prompts for AI agents while evaluating response quality and failure cases.

Build and validate recurring funder, district, and external reports; maintain dashboards, KPI reports, trend analyses, and ad hoc analyses. Analyze attendance, enrollment, participation, and site-level data to support program and leadership decisions. Document reporting definitions and data lineage, ensure FERPA compliance, identify data quality issues, and collaborate with program, compliance, operations, and data teams.

Develop predictive and statistical models, analyze operational and financial data, and create performance reports for AEG Presents. Extract, cleanse, and analyze data using SQL, Excel, Power BI, Python, and R. Implement models in proprietary software, define data requirements and structures, and communicate insights to technical and non-technical stakeholders across festivals, venues, touring, and other business areas.

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.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Supports client analytics and business-systems engagements by preparing, validating, mapping, and analyzing data; configuring and testing ERP systems; creating Tableau visualizations and reports; documenting processes; supporting data integration; and communicating with stakeholders. The role works under Lead Analyst guidance while developing ERP, consulting, and account-facing expertise.

The IAR Data Analyst extracts, processes, analyzes, and reports on large datasets to generate actionable insights. Responsibilities include building dashboards, performing ad hoc and statistical analyses, supporting ETL and data pipelines, ensuring data quality, and communicating findings through data storytelling. The role partners with Data Engineering, Product, Marketing, Finance, and other stakeholders to analyze customer journeys, marketing funnels, engagement, conversion, and program performance.

Lead analytics and data science for long-term care insurance claims: analyze healthcare and claims data, build predictive models, perform EDA, prototype solutions, collaborate with stakeholders, and translate insights into business recommendations to improve reporting and decision-making.

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate 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.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Supports government program data collection, reporting, analysis, forecasting, visualization, and dashboard development. Builds automated reporting solutions, data models, databases, and presentations; performs statistical analysis and interprets findings for agency leadership. Collaborates with federal stakeholders, contractors, and domain experts to improve data collection, identify performance indicators, provide technical support, and train field staff on data tools. The role is remote, with potential future onsite work in Washington, DC.

Supports public health data extraction, management, quality assurance, cleaning, validation, harmonization, documentation, and statistical and qualitative analysis. Develops analytic datasets and evaluates program implementation, reach, fidelity, dose, adaptation, and outcomes. Integrates mixed-methods data, interprets findings, prepares technical memoranda, reports, presentations, tables, and figures, and communicates recommendations to program stakeholders. The role also uses Microsoft Office and CDC administrative systems and requires obtaining and maintaining customer clearance.

Creates, analyzes, edits, and maintains GIS data supporting fiber and HFC network planning, design, construction, and regulatory map updates. Uses ArcGIS and ArcFM to manage geodatabases, spatial datasets, parcel data, route assets, and network schematics. Conducts map research, interprets technical records, supports GIS projects, develops mapping standards, and responds to internal requests. Collaborates with legal, market expansion, engineering, construction, and design teams while ensuring geospatial data quality and alignment with GIS best practices.

Analyzes complex Claims Department data to identify trends, patterns, risks, and opportunities. Retrieves, validates, and prepares data; develops reports, dashboards, graphs, presentations, and visualizations; and provides recommendations to claims and underwriting leadership. Collaborates across departments on reporting, forecasting, and business solutions using Guidewire, NextGen, and enterprise data sources. Requires strong SQL, Power BI, statistical analysis, communication, and presentation skills.

Develop and maintain Tableau dashboards, business intelligence solutions, and reporting tools. Lead data-cleaning scripts using Databricks, SQL, and Python; support data transformation, workflow automation, and analytics use cases. Partner with clients and stakeholders to translate business needs into scalable data solutions, present technical concepts, and support consulting, business development, and internal initiatives.

Develops scalable business intelligence and analytics solutions for financial, operational, clinical, and healthcare initiatives. Extracts, transforms, and analyzes data; builds ETL pipelines, reports, models, and applications; performs ad hoc analyses; improves data quality and architecture; and translates stakeholder needs into actionable insights. Collaborates with population health and cross-functional teams to support value-based care, provider outcomes, and strategic decision-making.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Analyze clinical data completeness, reliability, and effectiveness across healthcare facilities, vendors, interoperability networks, and integration pathways. Reconcile claims with clinical records, identify missingness and latency, report ADT coverage, evaluate data technologies, recommend vendor configurations, and prioritize facilities for direct acquisition. Partner with product, engineering, and clinical teams to improve scalable, trustworthy data pipelines and support TEFCA and QHIN strategy.