Cargill
From Cargill's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Job Purpose and Impact
The Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited 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 supports the effective presentation of data findings to partners to meet business objectives.
Lead Change - Level 2 - Develops resiliency to positively navigate change, work within uncertainty, and support others through the process.
Demonstrate Digital Technology & Data Fluency - Level 2 - Understands the importance of information security, embracing and integrating new technologies to contribute to team performance as well as working on how to use data to aid in decision making.
Build Financial & Business Acumen - Level 2 - Looks to increase financial and business understanding to draw accurate insights and use information as a strategic tool.
Develop Self and Others - Level 2 - Seeks out feedback, coaching and assignments that lead to personal growth, aligns career goals with business, and holds self accountable.
Partner with Impact - Level 2 - Develops skills to be a strong partner by understanding the business and the customer, how to anticipate needs and identify benefits and risks of solutions.
Execute with Excellence - Level 2 - Identify value of future scenarios, resource allocation, how to anticipate potential obstacles and contributes to the end-to-end execution.
Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
Proficiency in Power BI and SQL is required
Exposure to Snowflake/Kafka/Spark is desirable
Exposure to SAP MM/SD/FI/CO module is desirable
Exposure to Azure DevOps and agile way of working is desirable
Exposure to AI Coding for Data & Analytics is desirable
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