Senior Consultant, Data Analytics & Reporting - Ag & Trading

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
The Senior Consultant, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specific tools. With minimal supervision, this job collaborates with cross-functional teams to ensure data accuracy and integrity and performs data and statistical analyses using various programming languages. This job plays a key role in effectively presenting data findings to partners to meet business objectives.
The role serves as the product lead and senior business analyst for data analytics products supporting Daily Profit & Loss (P&L) reporting and Supply Chain Planning processes across Ag & Trading EMEA. The position is accountable for translating complex trading, finance, profitability, and planning requirements into scalable data and analytics solutions while coordinating cross-functional delivery teams. The role acts as the primary point of contact between business stakeholders, data engineers, analytics developers, and DT&D teams to ensure successful product delivery.
Key Accountabilities

• DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights. Develops and maintains automated reporting systems to streamline data analysis.
• STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partner relationships to understand data needs, provide insights, identify improvement opportunities, and ensure reporting solutions address key objectives.
• REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, including AI, and designs and implements data visualizations to communicate complex information clearly.
• STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies and uses statistical software and programming languages for data manipulation and analysis.
• PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
• PRODUCT MANAGEMENT: Applies product management principles to define priorities, manage backlogs and roadmaps, facilitate complex business requirements gathering and analysis, align stakeholders across business and technology teams, and ensure analytics solutions deliver measurable business value.
• COLLABORATION: Works closely with cross-functional teams to understand data needs and value opportunities, and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
• LITERACY: Coaches and advises stakeholders to mature their data consumption and analytics capabilities.
• QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.

Qualifications

• Have a Bachelor's degree in Data Analytics, Information Technology, Finance, Engineering, or a related field, or equivalent practical experience.
• Minimum of 10 years of relevant experience, typically 8+ years, in data and analytics, business intelligence, supply chain analytics, trading analytics, finance analytics, or data product delivery.
• Strong SQL skills with experience accessing and querying data across cloud-based data platforms and data lakes.
• Data modeling and dimensional modeling
• Ability to use Power BI or equivalent reporting tools to visualize data and generate insights
• Analytics platforms such as Snowflake, AWS, or similar
• Understanding of data pipelines and data engineering concepts
• Data quality, data governance, and master data management
• Use of AI for personal productivity, data analysis, documentation, etc.

Preferred:

• Familiarity with SAP and planning platforms such as OMP
• Python
• Statistical analysis
• AI/ML and predictive analytics fundamentals

Our Offer
We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.
We welcome applications from people with disabilities and are committed to providing an inclusive, accessible recruitment process and workplace. We encourage candidates to let us know if they require any accommodations during the recruitment or interview process so we can support them appropriately.
Interested? Then make sure to send us your CV and cover letter in English today:
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