Insights & Analytics Manager
Listed on 2026-06-13
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager, Data Mining
About Us Tate & Lyle is on a journey of change, inspired by our purpose of Transforming Lives through the Science of Food. Today, we are a global leader in sweetening, texture, and fortification products that remove calories and add fiber. Our innovations help create healthier, tastier food and drink for billions of consumers. Across the world, we are unlocking the curiosity and courage in our team members to foster a truly experimental culture and create a tech‑enabled, more agile, risk‑ready operation.
Join us to play your part in growing our business and its positive impact on communities, society, and the planet.
An analytical role within the Global Insights & Analytics team, focused on turning complex and fragmented data into clear, decision‑ready insight. Operating at a global level across a broad and evolving data ecosystem (including Mintel, Nielsen, Global Data, Descartes, Quid, Salesforce, and internal commercial and customer data), the Analyst delivers fast, consistent and reliable analysis to support business decisions and customer impact.
The role also contributes to selected strategic work packages (e.g. Big Bets, Non‑Food, new spaces and enterprise prioritisation), while offering strong opportunity to further develop consulting skillsets, including structured problem solving, analytical thinking and actionable insight generation.
Data synthesis and analytics for selected strategic priorities
- Work efficiently across multiple syndicated, internal and customer data sources: cleaning, connecting and triangulating imperfect or fragmented datasets.
- Apply structured, hypothesis‑led problem solving and a strong consulting‑style skillset to break ambiguous business questions into clear analytical work streams and generate concise, decision‑ready outputs.
- Deliver defined analytical work packages against clear briefs, translating fragmented inputs into structured insight and practical recommendations.
Analytical consistency, repeatability and efficiency
- Build and maintain repeatable analytical frameworks, templates and ways of working that improve quality, speed, agility and consistency across the global team while reducing duplication.
- Turn fragmented, incomplete and multi‑source datasets into consistent, triangulated and decision‑ready insight, raising the floor on analytical quality across all programmes.
- Support the use of Salesforce and customer data to better capture and embed the voice of the customer into insight outputs.
- Use AI and modern analytical tools (e.g. Copilot) to automate repetitive tasks and outputs, accelerate insight generation and improve efficiency without sacrificing rigour.
Customer and commercial enablement (Gameboard and priority accounts)
- Scale broader analytical support for prioritisation tools such as the Gameboard, helping the business identify where to focus by customer, category, market, segment and opportunity.
- Provide ad hoc analytical support for priority customer engagements: compiling evidence packs, customer portraits and ingredient‑level analyses as required.
- Support decision‑making, prioritisation and resource allocation by analysing where ingredient and solution spaces are most relevant by customer segment, category and region, and summarising implications clearly for commercial teams.
Data ecosystem, platforms and vendor development
- Help build a more connected and scalable data and analytics environment, working with vendors, IT and internal stakeholders to reduce fragmentation across the current ecosystem.
- Help shape the analytics technology and vendor ecosystem by evaluating, onboarding and embedding platforms and tools that unlock analytical value and strengthen team capability.
- Contribute to building a future‑fit data and analytics infrastructure that enables faster, more agile analytical support as business needs evolve.
Minimum 5 years’ experience in insights, analytics, strategy or consulting, with consulting experience or a strong consulting‑style skillset essential, and a proven track record of hypothesis‑led thinking, translating complex business questions into clear analytical outputs and recommendations.…
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