Live opening · Posted 11 hours ago

Business Intelligence Analyst

Valeo Foods · Leeds, , United Kingdom
Smartrecruiters No Full-time
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At a glance

The key details from the original listing.

Posted 11 hours ago
CompanyValeo Foods
LocationLeeds, , United Kingdom
Job typeFull-time
Work modeNo
SkillsPower BI
SourceSmartrecruiters
Listed11 hours ago

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About the role

Description supplied by the original job listing.

📍 Leeds (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
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.

Employment type
Full-time

Work arrangement
No

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