Manufacturing and Supply Chain Analytics and Reporting Specialist
About The Position
Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Ag & Trading enterprise, where we connect producers and users of grains and oilseeds around the globe through origination, trading, processing, and distribution. We also offer a range of farmer services and risk management solutions. Job Purpose and Impact The Manufacturing and Supply Chain Analytics and Reporting Specialist 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 in Agriculture and Trading enterprise.
Requirements
- Minimum requirement of 4 years of relevant work experience.
- Typically reflects 5 years or more of relevant experience
- Fluent in English, both spoken and written
Nice To Haves
- Building reports and dashboards experience in Power BI or Tableau
- Confirmed skills using reporting or data analysis tools
- Confirmed skills in writing or modifying database queries
Responsibilities
- REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
- PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
- QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.
- DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
- STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partner´s relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
- STATISTICAL ANALYSIS: Supports statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
- 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.
- LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
- DATA ANALYSIS: Conducts moderate complex data analysis to uncover trends, patterns, and actionable insights for decision making.
Benefits
- At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
- Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
