Overview

Flour Mills of Nigeria Plc has been a part of the lives of Nigerians at home and abroad. Our global vision is to be a leading food company in Africa, providing high-quality and affordable products in the most convenient ways to consumers through world-class brands like Golden Penny Flour, Golden Penny Semovita, Goldenvita, Golden Pasta and Golden Noodles. The Company’s flagship brand, Golden Penny, remains one of the best-known and the preferred brands amongst bakers, confectioneries and consumers in Nigeria.

Job Position: Data Analyst – Production Niger Mills

Location: Calabar, Cross River

Job Summary

To support the achievement of BU goals by collecting, processing and performing statistical analyses of data to provide insightful and data-driven decision-making.

Job Responsibilities

  1. Analyse Operating Equipment Efficiency (OEE) for Milling and Packing machines to optimise productivity.
  2. Collect and analyse data related to daily, weekly, monthly and yearly milling processes for decision making.
  3. Analyse key metrics to support daily, weekly and monthly production planning to maintain an accurate dataset and integrity.
  4. Track and maintain raw materials records in silos and bins to ensure availability of raw materials and ensure accurate inventory.
  5. Develop and maintain a production database for insight sharing using BI tools (like Microsoft Power BI) for BU and Regional Technical Performance Review (TPR).
  6. Communicate findings, trends and insights from analysed data to Chief Miller and Production Manager for critical decision making.
  7. Prepare documentation and maintain a dataset to track efficiency in wheat discharge operations.

Qualifications

  1. B.SC or HND in Computer Skills or other Numerical fields.
  2. Certification in Data Analytics would be an added advantage.
  3. Minimum of 2 years’ experience in a similar role.

The Person Must:

  1. Have excellent verbal and written communication skills.
  2. Have strong analytical skills and the ability to interpret and derive insights from large datasets.
  3. Be capable of maintaining accurate records and ensuring data integrity across all reporting levels.
  4. Be a proactive team player with good interpersonal skills and a solution-driven mindset.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Tagged as: Data, Technology

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