À propos de ce poste Junior Operations Data Analyst - Boning Hall & Abattoir chez Kepak Group
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.
