Business Intelligence Analyst - Graduate
Valeo Foods Leeds, England, United Kingdom
Food Production · 1,001-5,000 employees
About the role
The Business Intelligence Analyst will support the delivery of monthly reporting and category insights to drive business decision-making. They will also manage data partnerships and train internal teams on effective data usage.
What they look for
Requirements
Candidates should possess a degree in Business, Economics, Statistics, or Marketing, along with strong analytical skills and attention to detail. Proficiency in Excel and PowerPoint is required, with experience in data platforms like Nielsen or Power BI considered an advantage.
Full description
Company Description
At Valeo Foods UK we bring together a family of much-loved UK food brands supported by the scale and ambition of a global investment partner. From Kettle’s bold crunch to Rowse’s natural sweetness, through to Matthew Walker and Barratt Sweets, our portfolio blends heritage, craft and category-leading innovation.
Alongside our branded portfolio, we are also one of the UK’s largest suppliers of private label products, partnering with major retailers to deliver quality and category expertise that meets the needs of millions of households every week.
As a business, we’re on a journey of transformation. We’re strengthening our operations, driving quality and investing in our people. It’s an exciting, fast-moving environment where heritage meets new thinking, and where every colleague contributes to shaping the future of food across the UK.
Join us and play your part in building the next chapter of some of Britain’s most loved brands.
Job Description
📍 Leeds or Wallingford (with occasional travel)
At Valeo Foods UK, we’re looking for a Business Intelligence Analyst to join the team and support how we use data to make better decisions across the business.
Working closely with the Head of Business Intelligence, this is a role where you’ll turn a wide range of data into clear, practical insight that teams across the business can act on. You’ll be working with stakeholders at different levels, across categories, and helping to build a more consistent and effective approach to business intelligence.
This is a varied role with a mix of reporting, analysis, and stakeholder engagement. You’ll be:
- Supporting the delivery of monthly reporting, including category reports, brand scorecards and business performance packs
- Leading on 4-weekly CSI insight creation, developing clear recommendations for the business
- Taking ownership of 1–2 categories over time, becoming a go-to contact for performance insight
- Bringing together multiple data sources (internal data, retailer data, Dunnhumby, etc.) into clear, consistent reporting
- Managing relationships with data partners and agencies to ensure accuracy and consistency
- Supporting the rollout of a more standardised “Valeo way” of business intelligence across teams
- Helping build capability across the business by supporting and training teams on how to use data effectively
- Contributing to strategy cycles, research projects and planning processes with relevant insight
Qualifications
We’re looking for someone who is naturally analytical, comfortable working with data, and able to communicate insights clearly.
You’ll likely have:
- A degree in Business, Economics, Statistics, Marketing or similar (or equivalent experience)
- Strong analytical skills and attention to detail
- Confidence working with data and turning it into a clear story
- Good communication and presentation skills
- Experience with tools such as Excel and PowerPoint
- Exposure to data platforms like Nielsen, Circana, Dunnhumby, Kantar or Power BI (useful, but not essential)
You might already be working in an analyst or category role, or be an early-career candidate with strong analytical ability looking to build your experience in a commercial environment.
Additional Information
This is an internally focused role with plenty of exposure across the business. It’s a good opportunity to build your experience, take ownership over time, and be part of shaping how data is used at Valeo.
