Senior Professional, MSC Technical Data Analyst

Cargill Poland Sp. z o.o. is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. The position is in a specialized portfolio enterprise serving diverse businesses including animal nutrition and health, bioindustrial, road safety salt, and Cargill joint ventures.

• Minimum 4 years of relevant work experience.
• Strong proficiency in SQL.
• Experience writing complex queries including joins, subqueries, CTEs, and window functions.
• Hands-on experience with at least one relational database system (e.g., SQL Server, PostgreSQL, MySQL).
• Familiarity with modern data warehouse platforms such as Snowflake, Big Query, or SAP HANA.
• Basic knowledge of Python for data preparation and automation tasks.

Optional:

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Business, Finance, or a related field.

• Captures, processes, prepares, and analyzes complex datasets to extract significant insights.
• Develops and maintains automated reporting systems to streamline data analysis.
• Cultivates and maintains positive partner relationships to understand data needs and provide insights.
• 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 using statistical software and programming languages.
• Identifies opportunities to improve data collection and reporting processes.
• Implements standard methodologies for data management and reporting.
• Works closely with cross-functional teams to understand data needs and deliver solutions ensuring 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 accuracy, consistency, and security of data across all reports and analyses.