Top Data & Analytics Jobs

Lead finance transformation to modernize planning, forecasting, reporting, analytics, and data governance. Drive process redesign, automation, technology implementation (SAP BPC/S4HANA, BI, Databricks), change management, and team development to improve scalability, controls, and decision-making for Finance and enterprise stakeholders.

Design and build GTM data infrastructure in BigQuery, ingesting and modeling Salesforce and other GTM sources. Create durable dbt models and pipelines, ensure data quality with testing and monitoring, partner with sales leadership to translate requests into trusted tables, and produce dashboards and analyses for forecasting, pipeline, segmentation, comp, and territory reporting.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Design, implement, and maintain large-scale relational and NoSQL database architectures for DoD-focused systems. Migrate legacy schemas and code, build ETL pipelines, tune performance, integrate databases into CI/CD, establish source control, and produce test data for functional and performance testing while ensuring high availability and security.

Lead enterprise data, analytics, MDM, and integration strategy. Modernize cloud-native data platforms, manage data warehouse and API-first integration platforms, build/lead data engineering teams, enforce governance and data quality, enable analytics/AI/ML, and manage vendor relationships and managed services.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

Lead supply chain analytics for distribution center operations: ensure data pipeline integrity, govern and automate warehouse data, build reliable reporting, perform diagnostic and prescriptive analysis, partner with engineering and business stakeholders, create KPIs and storytelling, and mentor junior analysts to drive operational improvements.

Lead design, build, and operation of data architecture, pipelines, and semantic layers. Manage sprint planning, DevOps metrics, data quality and monitoring, and MLOps enablement. Partner with stakeholders, coach engineers, track project plans, and ensure data availability, accuracy, and documentation.

Lead design and delivery of scalable data platforms and pipelines on Google Cloud. Build and review Python/SQL code, drive data architecture using BigQuery and GCP tooling, own ingestion/transformation/orchestration, lead client technical discussions, prototype solutions, mentor engineers, and implement IaC, CI/CD, observability, and governance.

Transform retail, POS, inventory, assortment, supply chain, and shopper data into dashboards, reports, models, and executive narratives. Analyze Scintilla and retailer datasets to identify root causes of performance changes, produce actionable insights for Sales, Category Management, Marketing, and Supply Chain, maintain ETL and data governance, troubleshoot data integrity, and train and support business users.