Location: On site / Marston Green, Birmingham B37 7GN, UK
job type: Permanent / Full-time
Sector and subsector: Agriculture, Fishing, Forestry and Food Processing | General
Salary: Competitive salary
About the Role
We are seeking a highly motivated and analytically minded Analyst to support operational performance across our abattoir and boning hall operations. This role is responsible for transforming operational data into actionable insights that drive efficiency, profitability, and continuous improvement.
Working closely with site leadership, planning teams, and operational management, the successful candidate will identify opportunities, investigate performance trends, and support strategic decision-making through robust analysis and reporting.
This is a unique role that combines data analysis with hands-on operational understanding. The successful candidate will spend time both within manufacturing operations and in an analytical environment, developing a detailed understanding of processes and translating findings into measurable business improvements.
Key Responsibilities
Performance Analysis
- Analyse operational and commercial performance across abattoir and boning hall functions.
- Monitor key performance indicators including yield, efficiency, throughput, labour utilisation, waste, downtime, and profitability.
- Identify trends, risks, and improvement opportunities through detailed data analysis.
- Conduct root cause investigations and provide recommendations to improve operational performance.
- Develop and maintain reporting dashboards, analytical models and performance tracking tools.
- Produce weekly, monthly and ad hoc performance analysis for site and senior leadership teams.
- Utilise Excel, Power BI and other business intelligence tools to support data-driven decision making.
- Ensure data accuracy and consistency across reporting platforms.
Operational Improvement
- Work alongside operational teams to understand processes and validate analytical findings.
- Support continuous improvement initiatives by quantifying opportunities and measuring outcomes.
- Assist with business improvement projects aimed at increasing yield, reducing waste and improving productivity.
- Provide analytical support for strategic initiatives and operational reviews.
Stakeholder Engagement
- Build strong working relationships with production, planning, finance and senior leadership teams.
- Present findings and recommendations in a clear and commercially focused manner.
- Support sites in understanding performance drivers and implementing sustainable improvements.
Candidate Profile
The ideal candidate will possess a strong analytical mindset combined with a genuine interest in manufacturing and operational performance.
- Strong numerical and analytical capability.
- Microsoft Excel.
- Excellent problem-solving and critical-thinking skills.
- Ability to interpret data and communicate findings effectively.
- High attention to detail and a methodical approach to work.
- Strong communication and interpersonal skills.
- Self-motivated with the ability to manage multiple priorities.
- Experience using Power BI or similar business intelligence tools.
- Exposure to manufacturing, food production or operational environments.
- Understanding of KPI reporting and performance analysis.
- Knowledge of SQL, databases or data modelling.
- Experience supporting continuous improvement initiatives.
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Operations Analyst employer: ABP UK
ABP Langport is an exceptional employer that prioritises the well-being and development of its employees, offering permanent roles with job security and a supportive work culture. With benefits like an on-site occupational health nurse, employee recognition schemes, and opportunities for career progression, ABP fosters a rewarding environment where teamwork and excellence are celebrated. Located in a rural setting, the company also provides unique perks such as free on-site parking and discounted gym memberships, making it an attractive choice for those seeking meaningful employment in the food processing industry.
