Top Data & Analytics Jobs

Leads data engineering, data science, and AI initiatives, including Snowflake architecture, ETL pipelines, AWS data systems, data warehousing, analytics, and AI/ML solutions. Manages data governance, dashboards, experimentation, and web analytics integrations while building and mentoring multidisciplinary teams. Partners with Product, Editorial, Engineering, and business stakeholders to translate data needs into scalable solutions and drive business impact.

Designs, builds, and optimizes scalable data pipelines, integrations, warehouse solutions, and enterprise data models. Partners with stakeholders to develop reliable data products for analytics, reporting, and AI use cases. Responsibilities include performance optimization, automation, troubleshooting, root cause analysis, code reviews, documentation, technical design, and mentoring. Requires production data engineering experience, SQL, cloud platforms, ETL, source control, and collaborative software development practices.

Build and maintain data pipelines, contribute to a Data Vault-based warehouse, develop cloud ELT processes, and improve data quality and reliability. The role partners with analysts and stakeholders to translate requirements into technical solutions, supports production troubleshooting, participates in testing and code reviews, documents data flows, and uses AI-assisted development tools. It is designed for an early-career engineer developing expertise in cloud data platforms, warehousing, and modern engineering practices.

Leads the architecture, development, integration, and support of enterprise finance data applications and platforms. Designs scalable data pipelines, warehouses, models, semantic layers, and ETL/ELT workflows supporting financial planning, forecasting, consolidation, and reporting. Ensures data quality, governance, security, observability, and compliance while optimizing performance and infrastructure costs. Partners with technical and finance teams, resolves complex production issues, evaluates emerging AI and data technologies, mentors team members, and may participate in rotational on-call support.

Owns payroll and Employee Service Center operational reporting, dashboards, data governance, and automation enablement. Analyzes payroll, case management, workforce administration, and service data to identify trends, compliance issues, process failures, and automation opportunities. Maintains ServiceNow reporting structures, supports UAT, delivers leadership and audit reporting, and measures AI-enabled deflection and automation initiatives. Partners with HR, Payroll, Compliance, IT, and AI teams to convert manual reporting into scalable workflows and communicate actionable insights.

Develop and execute pricing strategies for the logistics and transportation business. Build predictive pricing models, dashboards, automated tools, and APIs; analyze demand, margins, market conditions, customer segments, competition, fuel costs, and customer mix. Partner with Sales, Finance, and Operations to optimize rates and bids, conduct sensitivity analyses, monitor pricing performance, and present recommendations to senior leadership.