Junior Operations Data Analyst - Boning Hall & Abattoir

apartmentKepak Group placeWatergrasshill scheduleFull-time calendar_month 

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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