Senior Consultant
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
This role is responsible for partnering with business stakeholders to understand objectives, processes, and decision needs, while also collecting, processing, and analyzing complex datasets to generate actionable insights. The role translates commercial requirements into analytical solutions and builds high-quality reports and dashboards using appropriate analytics and visualization tools.
With minimal supervision, the role collaborates closely with cross-functional teams across Commercial, Digital Technology, and Data Engineering to ensure data accuracy, integrity, and alignment with business priorities. It performs data, diagnostic, and statistical analyses using relevant programming and analytics tools to support pricing, sales performance, customer insights, and commercial decision-making.
The role plays a critical part in effectively communicating insights and recommendations to business partners, enabling data-driven decisions that support commercial growth, margin optimization, and operational effectiveness.
Key Accountabilities
BUSINESS & DATA REQUIREMENT ANALYSIS: Partners with business stakeholders to understand objectives, processes, and decision needs; translates business questions into clear analytical requirements, hypotheses, and data needs.
· DATA COLLECTION & ADVANCED ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to generate actionable insights; develops and maintains automated and scalable data models and reporting solutions to support business decision-making.
· STAKEHOLDER MANAGEMENT & VALUE TRANSLATION: Builds strong relationships with business and functional partners to understand priorities, communicate insights, identify improvement opportunities, and ensure analytical outputs directly support strategic and operational goals.
· REPORTING, DASHBOARDS & VISUALIZATION: Designs, builds, and maintains reports and dashboards using appropriate tools; translates complex data and analysis into clear, intuitive visualizations and narratives tailored to business audiences.
· STATISTICAL & DIAGNOSTIC ANALYSIS: Applies statistical techniques and analytical methods to identify trends, patterns, drivers, and anomalies; supports root-cause analysis, forecasting, and scenario evaluation using analytical and programming tools.
· COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
· DECISION SUPPORT & INSIGHT GENERATION: Conducts deep-dive analyses to support business cases, performance reviews, and strategic initiatives; provides fact-based recommendations and quantifies business impact, risks, and opportunities.
· PROCESS IMPROVEMENT & STANDARDIZATION: Identifies opportunities to improve business processes, data flows, and reporting practices; defines and implements standard methodologies for data management, analytics, and insight delivery.
· CROSS-FUNCTIONAL COLLABORATION: Works closely with cross-functional teams, including Digital Technology, Data Engineering, and Product teams, to deliver end-to-end analytical solutions while ensuring data integrity, consistency, and alignment with enterprise standards.
· DATA & ANALYTICS LITERACY ENABLEMENT: Coaches and advises business users to improve data literacy and analytical maturity; promotes effective data consumption, self-service analytics, and evidence-based decision-making.
Qualifications
Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
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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