Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s food ingredients and bio-industrial business, where we anticipate trends around taste, nutrition and safety to innovate and provide solutions to manufacturers, retailers and foodservice companies.
Job Purpose and Impact
You will be designing and building these strategic and actionable insights utilizing the comprehensive visual analytics capabilities, connecting to the underlying data models in our Big Data Platform. In this role, you will act as an authority for key metrics and KPI’s, data lineage, access, visualizations, and storytelling across functions and regions. The insights will drive value for the Cargill FIBI business and help the business make fact-based decisions, and become an insight driven organization.
Identify and analyze business needs, gather requirements and define the scope and objectives to drive business decisions.
Prepare data and explore new potential data to support reporting and analysis initiatives.
Prepare reports and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities.
Lead analysis in collaboration with process and operations leadership to identify the top opportunities for improvement and track progress and impact on future results.
Mentor and coach peers and recommend process improvements related to delivery and new methodologies.
Partner with the team to develop a detailed understanding of the business and offer mentorship or technical solutions to identify business problems.
You will work under mínimal supervision and independently handle complex issues while referring only the most complex issues to higher-level staff.
Build prototypes to test new concepts and be a key contributor of ideas that improve fact-based decision making, (advanced) analytics, and key performance metrics.
Other duties as assigned Qualifications
MINIMUM QUALIFICATIONS
Bachelor’s degree in a related field or equivalent experience
Minimum of four years of related work experience
Business acumen and the ability to partner and communicate effectively with business counterparts
3+ years applied experience in working with Visual Analytics Platforms like Tableau and/or PowerBI
2+ years applied experience in optimizing performance of dashboards (front-end) to accommodate for non-functional requirements
Supported and enabled management information and business intelligence strategy
Applied experience with UI/UX concepts and story-telling through data
Applied experience with data process mapping and business analysis
Fluent English is mandatory PREFERRED QUALIFICATIONS
Certification in programming language or business intelligence tools
Confirmed skills querying relational databases with query language
Confirmed experience working with large data stores
Applied experience with Data Warehousing concepts (e.g. dimensional modelling) and the use of traditional RDBMS;
Experience with the Agile mindset
Experience with Alteryx, Tableau Prep and/or KNIME
Experience with SAP Business Objects
Experience in Diagnostic & Advanced Analytics
At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law. Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.