Top Data & Analytics Jobs

Design, build, and maintain Workday reports, dashboards, Adaptive Planning sheets, and automations. Deliver workforce analytics, forecasts, and visualizations to support workforce planning and data-driven HR decisions. Collaborate to develop scorecards and influence business outcomes with real-time and forecasted people data.

Own analytics for Greenlight's devices ecommerce business across Shopify and Amazon: define KPIs and measurement framework, measure full funnel from ad impression to device purchase and subscriber conversion, analyze paid performance and ROAS/CAC, build dbt models and Tableau dashboards, surface insights to optimize marketing spend, and partner with marketing to scope and deliver analytics while owning data quality and reporting.

Build and maintain data pipelines and ETL processes using Python and Databricks, manage relational databases, support ML/AI deployments, collaborate with engineers and data scientists, and ensure data availability and scalability for DoD/IC customers.

Design and analyze experiments, measure campaign incrementality, identify customer segments and engagement opportunities, validate tracking and anomalies, surface actionable insights, and build scalable measurement infrastructure with cross-functional partners.

Serve as MarComm data governance lead: measure and remediate data quality, implement data controls, translate business rules into data rules, manage remediation plans, inventory and classify marketing data, support authoritative sources, and liaise between MarComm, IT, and stakeholders to ensure compliant, governed data use.

Design and execute end-to-end SAP S/4HANA data migration projects: extract, transform, cleanse, validate, reconcile, and cut over enterprise data using LTMC, SLT, and LVM. Optimize large-volume loads, support mock migrations and cutovers, collaborate with functional teams, enforce data governance, and maintain technical documentation and runbooks.

Lead end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Lead design and implementation of ETL processes and scalable data pipelines. Build and maintain data infrastructure, enforce governance, monitor performance, collaborate with stakeholders, and mentor other data engineers while staying current with industry technologies.

Perform accurate data entry, verification, and maintenance in the ERP system; gather requirements, analyze existing data and reports, propose improvements, and support testing and implementation of system updates.