Junior Operations Data Analyst - Boning Hall & Abattoir

About Kepak:

Kepak Group is an Irish company and one of Europe’s leading meat processors. Kepak have a portfolio of market leading brands including Rustlers, Big Al’s, John Stone, Stript Snacks and Celtic Beef. At Kepak, our ambition to grow as a business is equalled only by our ambition to grow the careers and personal satisfaction of our people.

This is a data-focused operational support role within the Boning Hall and Abattoir departments. In this role, you will play a key part in helping the operation understand and improve its performance through accurate data and reporting.

What to expect in the job?

• Collect and validate operational production data, ensuring accuracy across reporting systems.
• Prepare daily, weekly, and monthly KPI reports covering production performance, yield, throughput, labour efficiency, rework, and waste.
• Maintain and update reporting tools, including spreadsheets, databases, and dashboards.
• Working closely with supervisors and management to monitor Work Orders and production results.
• Analyse production variances, downtime, rework, and operational losses to identify trends and issues.
• Produce reports, charts, and presentations using Microsoft Excel and PowerPoint.
• Support continuous improvement initiatives through data analysis and reporting.
• Communicate findings clearly to supervisors and management and support operational meetings when required.

Working hours:

Monday to Friday, 7 am to 5 pm (approximately) 

Note: This factory is located in an area that is not easily accessible by public transport.

Requirements

What we need from you?

• Strong numerical and analytical skills
• Good attention to detail and high level of accuracy
• Intermediate to advanced Microsoft Excel skills
• Basic to good skills in Microsoft Word and PowerPoint
• Ability to organise, analyse, and present data effectively
• Good communication and interpersonal skills
• Ability to work independently and as part of a team
• A curious and analytical mindset with a proactive approach to problem-solving
• Ability to question and validate data when inconsistencies arise
• Experience in manufacturing, food production, warehouse, or administrative environments is advantageous
• Qualification in Data Analytics, Business, Statistics, Supply Chain, Food Science, or a related field is desirable
• Portuguese/Polish speaking is advantageous but not required.

Benefits

What can we offer you?

• Discounted health insurance
• Contributory Pension scheme
• Subsidised canteen
• Culture-conscious canteen with free lunch once a month
• Free parking
• Cash sales available
• Flexibility of holiday planning
• Permanent contract
• Career progression
• Further education support policy
• Study Leave Policy 
• Dedicated learning and development team
• Wellbeing initiatives regularly across the group
• Bike to work scheme
• Formal recognition initiatives and team awards in place
• Additional service leave days
• Family leave options

#IND

Note: This factory is located in an area that is not easily accessible by public transport.

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