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.

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

Analyze large datasets to identify pricing trends and variances, build and maintain data models, ensure data quality, and produce reports and presentations to support revenue management and pricing decisions.

Build, optimize, and maintain reports and dashboards from ERP and operational data. Write SQL/stored procedures, develop Epicor BAQs, validate data accuracy, partner with Finance and Operations, document report logic, and present findings to business leaders while supporting data governance and compliance.

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.

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.

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.

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.

Build, validate, and submit funder and district reports; produce and maintain dashboards, KPIs, and ad-hoc analyses to inform program and operational decisions; partner with program, compliance, and data teams to ensure data quality and reproducible, audit-ready reporting while complying with FERPA and student data privacy requirements.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

Analyze consumer and ecommerce data to inform business decisions: perform descriptive and cohort analyses, build and apply statistical and predictive models, create dashboards and visualizations, and communicate actionable insights to stakeholders.

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.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

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 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.

Collaborate with business teams to define analytics requirements, explore and model operational and financial data, produce forecasts and recommendations, and build dashboards and visualizations to support decision-making. Contribute to data stewardship, metadata, data quality remediation, and liaison with enterprise analytics for data model needs.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Build scalable GTM and product analytics to inform revenue, retention, and growth decisions. Partner with Sales, Customer Success, Finance, Product, and Data Engineering to deliver dashboards, models, and executive data stories; validate data quality; measure ROI; and enable self-service reporting across the lead-to-quote-to-cash journey.

As a Data Analyst, you'll drive innovation through data insights to support decision making and contribute to business growth.

As a Data Analyst, you will drive innovation and growth by transforming data into actionable insights, helping to improve decision-making and business outcomes.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.