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Manufacturing and Supply Chain Analytics and Reporting Specialist

สมัครเลย
รหัสงาน 320814 วันที่โพสต์ 01/13/2026 Location : วอร์ซอ, โปแลนด์ Category  DIGITAL TECHNOLOGY AND DATA (DT&D) Job Status  Salaried Full Time

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way.

We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

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.

Key Accountabilities

  • 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.

Qualifications

MINIMUM QUALIFICATIONS

  • 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

PREFERRED QUALIFICATIONS

  • 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

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Our Offer
We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.


Interested? Then make sure to send us your CV and cover letter in English today:  
Follow us on LinkedIn: https://www.linkedin.com/company/cargill

Cargill is committed to being an inclusive employer. Click here to find out more https://careers.cargill.com/diversity/

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