At a Glance
- Tasks: Lead data and analytics for food safety and quality in a major international food manufacturer.
- Company: Join a leading global food manufacturing organisation with a focus on innovation.
- Benefits: Competitive salary, career development, and the chance to make a real impact.
- Other info: Opportunity to influence decision-making across a complex international network.
- Why this job: Shape the future of food safety and quality through data-driven insights.
- Qualifications: Experience in data analytics, FMCG, and strong stakeholder management skills required.
An opportunity to take ownership of the data and analytics agenda for Food Safety, Quality & Regulatory within a major international food manufacturing organisation.
Operating across a complex manufacturing and supply chain network, you’ll sit at the intersection of food safety, quality, data and digital systems – turning complex information into insight that helps the business identify risk earlier, improve performance and make better decisions.
This isn’t simply a reporting role. You’ll be expected to shape what the business measures, challenge how it measures it and ensure data leads to meaningful action.
The Role
Reporting into the FSQR Director, you’ll lead a small specialist team and take responsibility for the development and delivery of the FSQR data and analytics strategy.
You’ll work closely with senior stakeholders across Manufacturing, Technical/Quality, Procurement, R&D, Regulatory, Risk and IT.
Key responsibilities will include
- Owning and developing the global FSQR KPI and performance framework, covering food safety, quality, compliance and risk.
- Designing and continuously improving dashboards and reporting used by senior operational and functional leaders.
- Turning complex datasets into clear, actionable insights rather than simply reporting historic performance.
- Monitoring global food safety indicators and identifying trends, emerging risks and opportunities for improvement.
- Developing the use of predictive and statistical analytics to support earlier identification of food safety and quality risk.
- Leading analysis of consumer and market complaints, including food safety, foreign body, quality and regulatory issues.
- Using complaint data to identify trends, root causes and preventative actions across sites and markets.
- Acting as system owner for specialist FSQR platforms including Unilab, LIMS, Quality Management Systems and Salesforce.
- Supporting the selection, configuration, implementation and continued development of FSQR technology.
- Improving data integrity, system adoption and integration across the wider Supply Chain environment.
- Leading, coaching and developing a team of three data and analytics professionals.
- Supporting audits, inspections and regulatory activity through accurate, robust and defensible data.
About You
We’re looking for somebody who combines strong data and analytics capability with a genuine understanding of operational manufacturing and quality.
You’re likely to have
- Significant experience within data, analytics, business intelligence or performance management.
- Experience gained within FMCG, food manufacturing, manufacturing or another highly regulated environment.
- Strong experience developing KPI frameworks, dashboards and senior-level performance reporting.
- The ability to translate large or complex datasets into clear commercial and operational recommendations.
- An understanding of food safety, quality, compliance or regulatory risk – ideally within a manufacturing or Supply Chain environment.
- Experience owning or implementing specialist quality, laboratory or business systems.
- Strong stakeholder management skills and the confidence to challenge senior colleagues using evidence and data.
- Previous people-management experience.
- Experience operating within a large, matrixed organisation.
Experience with Unilab, LIMS, Salesforce, Quality Management Systems or similar platforms would be particularly relevant, as would exposure to digital transformation or data-modernisation programmes.
The Opportunity
This is an unusual opportunity to move beyond traditional reporting and take genuine ownership of how a major food manufacturing organisation uses data to manage food safety, quality and regulatory risk.
You’ll have the scope to improve systems, develop analytical capability and influence decision-making across a complex international manufacturing network.
For somebody who understands both data and the realities of food/FMCG manufacturing, it offers the chance to build a genuinely strategic analytics capability with visible impact across the business
Data & Analytics Manager in Woking employer: Gregory Walker Associates
Join a leading player in the UK food manufacturing sector, where your role as Facilities Manager will not only ensure the smooth operation of essential equipment but also contribute to sustainability initiatives aimed at reducing the carbon footprint. With a strong emphasis on employee development and a collaborative work culture, this company offers competitive benefits and a supportive environment for growth, making it an excellent choice for those seeking a meaningful career in a dynamic industry.
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We think this is how you could land Data & Analytics Manager in Woking
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We think you need these skills to ace Data & Analytics Manager in Woking
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Gregory Walker Associates
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gregory Walker Associates!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.