Data Analyst

Data Analyst

Job Description

We are seeking a Data Analyst – Manufacturing who thrives in complex manufacturing environments and knows how to interrogate raw data to uncover hidden relationships between process variables, performance metrics, and economic outcomes.

This newly created role is part of a wider initiative to help us unlock deeper insights from our operational data, especially around production, yield, and process optimisation.

This role will lead a transformation through data insights in the business understanding.

Working closely with operations, engineering, finance, and supply chain teams, building models, dashboards, and forecasting tools that drive smarter decisions and continuous improvement.

Key Responsibilities

Analyse production, yield, quality, output, and workforce data across slaughter, boning, livestock, and cold store processes.

Build intuitive dashboards and reports using Power BI or similar tools to support real-time decision-making.

Investigate relationships between operational variables (e.g., chain speed, temperature, rest breaks, SKU mix) and performance outcomes.

Support forecasting and optimisation projects using statistical and machine learning techniques.

Collaborate with site managers and technical teams to define KPIs and reporting frameworks.

Ensure data integrity and contribute for the development of data governance protocols.

Start with one site, refine the approach, and scale insights across the wider business.

Qualifications

4+ years of data analysis experience in manufacturing, agriculture, or logistics

Experience working with manufacturing data to move from basic reporting to predictive, actionable analytics.

Experience using data as a way to solve real-world problems in a manufacturing setting.

Experience turning operational data into insights that drive yield, efficiency, and cost improvements and you'll know how to communicate those insights to both the factory floor and the executive team.

Experience working with messy, high-volume datasets where timing, temperature, and throughput all matter.

Strong skills in SQL, Excel, and data visualisation platforms (e.g., Power BI)

Ability to communicate insights clearly to both technical and non-technical audiences

A proactive mindset and a passion for solving real-world business problems

Technically capable, but deeply curious about how and why things work.

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