Top Data & Analytics Jobs

Lead a data engineering team building pipelines, transformations, and analytics infrastructure in Azure/AWS/Snowflake. Champion spec-driven, AI-assisted development, ensure secure scalable systems, govern AI-generated code, and partner with product and platform teams.

Lead development and continuous improvement of EHS safety management systems and DriveSafe program. Oversee driver scorecards, performance analytics, dashboards, and ad hoc reporting. Partner with EHS, operations, IT, and leadership to align systems, ensure data governance, drive projects, implement EHS technologies, train users, support compliance, and use data-driven insights to reduce incidents and improve safety outcomes.

Lead data architecture, reporting platform, and product catalog strategy for the Xtime fixed-ops portfolio. Translate business needs into data models, integrations, ETL, and reporting solutions; define standards, reference architectures, and governance; own reporting platform architecture and proofs of concept; collaborate across product, engineering, and stakeholders to align roadmaps, non-functional requirements, and delivery for scalable, secure data and catalog systems.

The Analytics Engineer will enhance data assets, develop data models, optimize BI infrastructure, manage cross-functional partnerships, and ensure data quality through anomaly detection and documentation.

The Senior Enterprise Applications Engineer designs and maintains data architecture and pipelines, supports financial reporting, manages projects, and mentors junior members while utilizing business intelligence tools and emerging technologies.

Lead client-facing analytics for automotive advertising, building SQL queries, analyzing media and on-site behavior, delivering executive reports and QBRs, and partnering with Sales, Campaign Management, and Data Science to drive campaign optimization and product-informed recommendations.

Lead analytics for advertising and consumer insights, developing SQL-based analyses in Snowflake and other warehouses. Deliver executive-ready reports and QBRs, advise sales and campaign teams, integrate new data sources, collaborate with Data Science/Engineering to define analytics requirements, and rapidly respond to ad-hoc client questions to drive campaign optimization and revenue.