Top Data & Analytics Jobs

Lead enterprise data, analytics, and insights strategy to drive business performance. Own executive dashboards, customer segmentation, lifetime value models, governance, and scalable self-service analytics. Partner with Product, Technology, Operations, and other stakeholders to operationalize insights, ensure data quality and consistency, and build a high-performing analytics team with career paths, training, and measurable business outcomes.

Lead people analytics operations for the region: manage HRIS (UKG) administration, integrate Talent data into Google BigQuery, produce reports and visualizations, audit and improve data quality, train stakeholders, and develop metrics, KPIs, and predictive models to support workforce planning and regional strategy.

The Principal Data Architect leads the development of the Enterprise Data Strategy and architecture, ensuring alignment between operational and analytical systems while enabling advanced analytics and AI integration across the enterprise.

Design, build and maintain a self-service data platform to enable teams to create data products. Support real-time analytics, batch processing and ML workloads. Implement secure, scalable, compliant infrastructure with IaC and automation. Enable ingestion, processing and consumption of data at scale. Mentor teammates and drive engineering excellence.

The Power BI Developer leads the design and management of Power BI solutions, partners with stakeholders, and ensures optimal performance of analytics and reporting workflows.

Lead marketing measurement and analytics: build dashboards, query and transform data, generate actionable insights, communicate findings to clients and cross-functional teams, and develop scalable analytical approaches to improve campaign measurement and efficiency.

The Senior Software Engineer will build scalable data pipelines, analyze data, collaborate with teams, and mentor junior staff while ensuring data governance and quality.

The GIS Analyst will manage GSND Sandbox databases, support data ingestion processes, and develop ETL solutions with a focus on SQL and Linux systems.

Lead design, build, and maintain scalable batch and streaming data pipelines and data warehouse models. Ensure data quality, observability, performance, and security. Own workstreams, support production incidents, and enable analysts and downstream applications.

Design, build, install, and manage relational databases including modeling, architecture, metadata/repository creation, configuration management, and performance tuning. Define database standards, controls, procedures, and documentation. Provide technical consulting and advise application developers on data solutions and database operations. Work independently under general direction on complex problems while maintaining an active Secret clearance.