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- Tasks: Analyse data to support forecasting and operational decision-making in a fast-paced FMCG environment.
- Company: Join a leading FMCG business with a focus on innovation and collaboration.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by turning complex data into actionable insights that drive business performance.
- Qualifications: Experience in data analysis within supply chain or FMCG environments is essential.
- Other info: Opportunity for European travel and engagement with cross-functional teams.
The predicted salary is between 40000 - 50000 £ per year.
We are recruiting an experienced, highly analytical Supply & Demand Planner to join a leading FMCG business. This role is ideal for a data-driven planning professional who thrives on turning large, complex datasets into clear, actionable insight to support forecasting and operational decision-making.
You will play a critical role in analysing customer and SKU-level data, identifying trends, risks, and opportunities, and translating these into accurate forecasts that underpin Demand Planning, S&OP, and wider Supply Chain execution. Working cross-functionally, you will partner with commercial, supply chain, and operations teams to ensure alignment between demand signals and supply capability, improving forecast accuracy and supporting business performance. The role is UK-based, with regular European travel (typically once per month), alongside monthly customer visits across the UK.
We are looking for a driven, adaptable, and flexible individual who is comfortable operating within a fast-paced, global environment, and able to effectively engage with stakeholders across multiple regions.
Key Responsibilities- Act as the primary analytical support to Demand Planning and Supply Chain teams, owning the extraction, validation, and transformation of large customer and SKU-level data sets to support accurate forecasting and planning decisions.
- Analyse and consolidate 13-week customer forecasts, critically reviewing forecast submissions for accuracy, bias, and anomalies.
- Compare historical sales data against new forecasts, identifying trends, seasonality, volatility, and variance to support robust demand planning.
- Produce detailed, decision-ready reports and dashboards using advanced data analytics tools (e.g. SQL, Python, Power BI) to support forecasting accuracy and performance tracking.
- Support the monthly S&OP process by providing analytical insight, scenario modelling, risks, and opportunities to senior stakeholders.
- Work closely with Demand Planning, Sales, Production, and Supply Chain teams, attending customer reviews and internal planning meetings to ensure alignment.
- Provide customers and internal teams with clear forecasting data, performance reports, and demand updates, ensuring complex data is communicated clearly and effectively.
- Monitor FGI (Finished Goods Inventory) data, highlighting risks relating to shortages, excess stock, or demand volatility.
- Support production lifecycle management, including product introductions, phase-outs, and stock build strategies through data-driven insight.
- Identify performance trends, inefficiencies, and value opportunities within demand and supply data to support continuous improvement initiatives.
- Operate effectively in a fast-paced manufacturing environment, managing multiple data streams and changing priorities.
- Support European teams and cross-regional projects, particularly those involving the introduction or enhancement of new data analytics and planning software.
- Proven experience in a Data Analyst, Supply Chain Analyst, or Commercial Analyst role within manufacturing, FMCG, or a complex operational environment.
- Strong experience working with large, complex data sets, particularly SKU-level, customer-level, and time-phased data.
- Demonstrated ability to validate, challenge, and interpret data to support forecasting and planning decisions.
- Advanced Excel skills (pivot tables, lookups, data modelling, reporting).
- Strong communication skills with the ability to translate complex data into clear, actionable insight for non-technical stakeholders.
- High attention to detail with strong ownership of data accuracy and integrity.
- Comfortable working in a highly fast-paced, change-driven environment.
- Experience working alongside Demand Planning or S&OP teams, providing analytical support rather than owning the plan.
- Exposure to ERP / planning systems such as SAP, SAP IBP, APO, or similar.
- Experience supporting system implementations, upgrades, or analytics-led transformation projects.
- Understanding of demand planning, forecasting, and supply chain processes, even if not previously owned.
- Experience working within European or international supply chain environments.
Supply & Demand Analyst employer: Frank Wills Recruitment
Contact Detail:
Frank Wills Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Supply & Demand Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to supply and demand analysis. Use real data examples from your past experiences to showcase your analytical skills and how you’ve turned insights into action.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that fit your skills and interests, and make sure to tailor your approach to each company.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show your genuine interest in the role and the company.
We think you need these skills to ace Supply & Demand Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Supply & Demand Analyst role. Highlight your experience with data analysis, forecasting, and any relevant tools like SQL or Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your adaptability in fast-paced environments – we love that!
Showcase Your Analytical Skills: In your application, be sure to showcase specific examples of how you've turned complex data into actionable insights. We’re all about data-driven decisions, so let us know how you've made an impact in previous roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Frank Wills Recruitment
✨Know Your Data Inside Out
As a Supply & Demand Analyst, you'll be dealing with large datasets. Make sure you brush up on your data analysis skills, especially in SQL and Excel. Be prepared to discuss how you've used these tools to extract insights from complex data in your previous roles.
✨Understand the Business Context
Familiarise yourself with the FMCG sector and the specific challenges it faces. Research the company’s products and market position. This will help you demonstrate how your analytical skills can directly support their demand planning and supply chain processes.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Think about how you've identified trends or managed risks in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Communicate Clearly and Confidently
You'll need to translate complex data into actionable insights for non-technical stakeholders. Practice explaining your past projects in simple terms. Show that you can communicate effectively across different teams, as collaboration is key in this role.