Data Analyst

• Increase production data accuracy and develop M3 expertise
• Role is area dedicated and candidate will have clear and concise understanding of the production area processes and procedures
• Check that MOs are closed every day following the right procedure. Meticulously checking the inputs and outputs of M0s to ensure accurate reporting. Escalating discrepancies where required
• Manually update the RM consumption in M3 for MOs not closed correctly. Amend the transactions reported to mirror real life
• Check accuracy of RM consumed in MOs versus produced quantities, bases on standard yields. Do corrections if necessary
• Check that no materials remain in WIP locations and OUTPUT locations at the end of the day
• Analyze root causes of deviations and create action plans with shopfloor teams
• Information Sharing: Production Department: Feedback on MOs deviation, animation and action plans management
• Controlling: Regular feedbacks on data accuracy, close discussions on root causes analysis
• Work collaboratively with other departments to ensure alignment of data definitions and standards
• Prepare visual data summaries for daily and weekly performance reviews
• Future Responsibility: As the department becomes more embedded, over time, this function will start to pick up responsibility for product structure creation. Inputting agreed data to be approved by costing variance before going live

• Strong data management and analysis skills with attention to detail
• Proficient in Microsoft Excel (advanced functions, pivot tables, lookups, macros)
• Experience with data visualisation tools (Power BI or similar)
• Ability to translate complex data into clear, actionable insights
• Strong organisational and problem-solving abilities
• Excellent communication skills – able to explain data insights to non-technical stakeholders
• Ability to work accurately under pressure and meet deadlines
• Keen interest in process improvement and data standardisation
• Previous experience working in a data analysis, data management, or reporting role
• Familiarity with production data, KPIs, and performance tracking processes
• Experience in maintaining reporting systems or dashboards
• Training or certification in Excel, Power BI, or data analytics tools advantageous

Experience in operations, or food production environment preferred

• Competitive pay, including nightshift allowance
• Ongoing training and development opportunities
• Company pension scheme (T&C applies)
• Company private health insurance (T&C applies)
• Staff discounts Wage stream, Cycle to work, gym discount
• A supportive team environment in a stable and growing business