Top Data & Analytics Jobs

Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.

Implements data management and governance strategies, standards, policies, and controls. Maintains data quality, storage, integration, lifecycle management, compliance, and risk processes. Partners with technology teams and business units, improves data operations, supports audits, deploys governance solutions, and delivers training to strengthen data literacy and organizational accountability.

Designs, develops, and maintains scalable batch and real-time data pipelines, ETL/ELT workflows, data models, and cloud data platforms. Ensures data quality, governance, security, observability, and performance while supporting cloud modernization. Collaborates with product owners, architects, business stakeholders, and data scientists, and maintains technical documentation, lineage, monitoring, and operational runbooks.

Leads a data engineering team responsible for scalable data systems, streaming and batch pipelines, cloud infrastructure, data modeling, governance, and automated deployments. Oversees data architecture improvements, ingestion, transformation, storage, and accessibility for analytics and decision-making. Partners with cross-functional stakeholders, develops frameworks and prototypes, and manages team performance, coaching, and development.

Supports data management and governance by maintaining data standards, quality, lifecycle controls, compliance processes, and governance policies. Reviews and corrects data issues, assists with audits, supports data literacy training, and helps implement data management technologies. The role requires independent work, occasional weekends, stair climbing, and lifting up to 25 pounds.

Collects, processes, and analyzes moderately complex datasets to generate insights, builds automated reports and dashboards, performs statistical analysis, validates data quality, and partners with cross-functional teams to support trading and supply chain decision-making.

Leads the Trading and Risk Management data strategy, roadmap, information architecture, and execution. Owns governed data products, data quality, lineage, modeling, and AI-ready foundations. Provides hands-on technical leadership across cloud data platforms, pipelines, integrations, batch and streaming systems, and data governance. Partners with trading, risk, operations, architecture, security, and engineering stakeholders while coaching data teams and translating business priorities into measurable outcomes.

Leads data analytics products supporting P&L reporting and supply chain planning across Ag & Trading EMEA. Analyzes complex datasets, develops dashboards and automated reports, translates business requirements into scalable analytics solutions, manages product roadmaps and backlogs, coordinates technology and data engineering teams, ensures data quality, and advises stakeholders on analytics adoption.

Build and operate trusted data products and pipelines for commodity markets, trading, supply chain, risk, logistics, and commercial analytics. Partner with business and technical teams to define requirements, investigate data, create reusable analytical datasets, implement quality controls, perform analysis, and deliver production-ready solutions. Responsibilities include SQL and Python development, cloud data integration, data modeling, testing, monitoring, documentation, and translating complex data into actionable business insights.

Collects, processes, and analyzes moderately complex datasets to produce actionable insights, reports, and dashboards. Collaborates with cross-functional teams to ensure data accuracy, integrity, and effective communication of findings. Supports business decision-making through statistical analysis, data fluency, and financial and business acumen. Requires Power BI and SQL proficiency, with desirable exposure to cloud, streaming, big-data, SAP, Agile, Azure DevOps, and AI coding tools.