Top Data Analyst Jobs in Los Angeles, CA

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

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.

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

Analyzes user behavior, content metadata, engagement patterns, and topic relationships to support personalization, taxonomy, ontology, content strategy, and product decisions. Builds dashboards, identifies content gaps and behavioral trends, segments users, supports experimentation, and communicates actionable insights to product, editorial, ML, and personalization 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.

Analyze streaming engagement trends and drivers across content, subscribers, and products. Conduct ad hoc deep dives, develop engagement metrics, use SQL and visualization tools to synthesize large datasets, and communicate actionable insights through reports and presentations. Partner with Content, Product, Marketing, Programming, and other business teams to support audience understanding, content optimization, and retention decisions.

Own and maintain Dermalogica's global reporting and analytics ecosystem. Build, validate, and troubleshoot Power BI/Tableau dashboards and data flows, ensure data quality and governance across sell-in/sell-out datasets, provide ad hoc analysis and monthly performance tracking, and develop analytical models to inform global strategy and identify growth opportunities.

Analyze customer retention and lifecycle data across CRM, loyalty, e-commerce, email, SMS, and subscription channels. Build churn prediction models, cohort and LTV analyses, customer journey insights, loyalty program reporting, SQL transformations in Snowflake, data preparation workflows, and Tableau dashboards. Partner with Brand and Retention teams to improve campaign performance, customer loyalty, repeat purchases, and revenue growth.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

Analyzes workforce data to guide hiring, retention, organizational design, and people-program decisions. Builds dashboards, reports, data models, pipelines, and governance practices; ensures HR data integrity; automates reporting; identifies workforce trends and risks; and partners with People, Finance, HRIS, engineering, and business leaders to deliver actionable insights.

Transforms enterprise IT operations, monitoring, KPI, and performance data into executive dashboards, heatmaps, trend analyses, forecasts, anomaly detection, and narrative insights. Integrates data from monitoring, ticketing, incident, and operational systems; develops standardized reporting templates; documents analytical workflows; and collaborates with engineering, service desk, cybersecurity, and PMO teams to support federal reporting and leadership decisions.

Develop KPI frameworks, track SLA performance, analyze operational data and alerts, and produce recurring reports for a federal and DoD-aligned mission environment. Validate and reconcile data across sources, support dashboard and engineering teams, identify trends and anomalies, and provide actionable insights and executive summaries. The role also maintains reporting standards, documents analytical processes, and supports operational and leadership decisions.

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.

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.

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

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Analyzes, validates, and maintains Army MEDCOM facilities and real property data; supports dashboards, reporting, data integration, quality assurance, process improvement, documentation, training, and stakeholder deliverables. The role identifies data discrepancies, develops recommendations, provides technical support, and assists with Medical Readiness and Facility Investment Plan requirements. Periodic travel to project sites, meetings, training, and data collection locations may be required.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Collects, organizes, cleans, and analyzes business data; reviews data quality; maintains spreadsheets and databases; prepares reports, dashboards, and summaries; identifies trends to support business decisions; and performs data quality checks remotely.

Own Kepler’s transaction data feed end-to-end, ensuring accuracy, improving methodologies, developing QA frameworks, solving complex analytical problems, and prototyping enhancements. Analyze massive datasets, automate workflows with AI, evaluate client-facing AI outputs, address high-complexity customer questions, and collaborate with Research, Product, Data Science, and Engineering teams.

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.

Supports value-based healthcare programs through complex SQL analysis, reporting, data reconciliation, payment support, and evaluation of new program opportunities. Develops monthly and ad hoc reports using Excel and Azure Synapse Analytics, interprets complex healthcare and insurance data, and communicates findings to senior leadership. The role also supports program implementation, maintenance, process improvement, and provider relationships.

Analyzes complex datasets to uncover business insights, develops dashboards and reports using SQL and visualization tools, and presents recommendations to stakeholders. Partners with engineering, operations, and other teams to solve business problems, prioritize strategy and projects, manage deliverables, and ensure data accuracy and timeliness.

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.