Sr. Consultant, Data Analytics & Reporting

Cargill•Wayzata, MN

About The Position

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 Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With minimal supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job plays a key role in effectively presenting data findings to partners to meet business objectives.

Requirements

Minimum requirement of 4 years of relevant work experience.
Typically reflects 5 years or more of relevant experience.
Strong Power BI knowledge

Nice To Haves

SQL and Python languages
Power Data Flows experience
Tableau

Responsibilities

Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
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.
Coaches and advises to mature data consumption and analytics capabilities.
Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
Ensures the accuracy, consistency, and security of data across all reports and analyses.