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- Tasks: Transform complex data into actionable insights for demand planning and supply chain decisions.
- Company: Leading manufacturing business with a focus on innovation and collaboration.
- Benefits: Hybrid working, competitive salary, and opportunities for European travel.
- Why this job: Make a real impact in a fast-paced environment while developing your analytical skills.
- Qualifications: Experience with large data sets and strong analytical skills required.
- Other info: Great career growth potential and dynamic international projects.
The predicted salary is between 35000 - 45000 ÂŁ per year.
We are recruiting a highly analytical Data Analyst supporting the Demand Planning & Supply Chain function, to join a leading manufacturing business. This role is ideal for a data focused analyst who may not have owned demand planning previously but has worked closely alongside Demand Planning and Supply Chain teams, providing large-scale data, insight, and analysis to support forecasting and planning decisions.
The role plays a critical part in transforming complex customer and SKU-level data into accurate, decisionâready insight that feeds Demand Planning, S&OP, and Supply Chain execution. Although the role is UK-based full time, there is European travel requirements (typically once per month), alongside monthly customer visits across the UK. We are looking for someone who is driven, adaptable, and flexible, and comfortable working in an international environment.
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 SKUâlevel data sets to support accurate forecasting and planning decisions.
- Analyse and consolidate 13âweek 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, decisionâready 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, phaseâouts, and stock build strategies through dataâdriven insight.
- Identify performance trends, inefficiencies, and value opportunities within demand and supply data to support continuous improvement initiatives.
- Operate effectively in a fastâpaced manufacturing environment, managing multiple data streams and changing priorities.
- Support European teams and crossâregional projects, particularly those involving the introduction or enhancement of new data analytics and planning software.
Experience & Skills
- 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 SKUâlevel, customerâlevel, and timeâphased 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 nonâtechnical stakeholders.
- High attention to detail with strong ownership of data accuracy and integrity.
- Comfortable working in a highly fastâpaced, changeâdriven environment.
Highly Desirable
- Experience working alongside Demand Planning or S&OP teams, providing analytical support rather than owning the plan.
- Handsâon experience with SQL, Python, Power BI, Tableau, or similar analytics tools.
- Exposure to ERP / planning systems such as SAP, SAP IBP, APO, or similar.
- Experience supporting system implementations, upgrades, or analyticsâled 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 And Demand Planning Analyst in Ellesmere Port employer: Frank Wills Recruitment
Contact Detail:
Frank Wills Recruitment Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Supply And Demand Planning Analyst in Ellesmere Port
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in supply chain and demand planning. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
â¨Tip Number 2
Show off your skills! When you get the chance to meet potential employers, bring along examples of your work. Whether it's reports you've created or dashboards you've built, tangible proof of your abilities can really make you stand out.
â¨Tip Number 3
Be proactive! Donât just wait for job postings to pop up. Reach out directly to companies you're interested in, like us at StudySmarter, and express your enthusiasm for potential roles. You never know what opportunities might arise!
â¨Tip Number 4
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've tackled complex data sets in the past and how you can apply that experience to support demand planning and supply chain functions.
We think you need these skills to ace Supply And Demand Planning Analyst in Ellesmere Port
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Supply and Demand Planning Analyst role. Highlight your experience with data analysis, especially if you've worked with large datasets or in a supply chain environment. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Donât forget to showcase your technical skills! If youâve got experience with SQL, Python, or Power BI, make it pop in your application. We love seeing candidates who can turn complex data into clear insights, so let us know how youâve done that in the past.
Be Clear and Concise: When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, especially when it comes to complex data. Make sure to explain how your analytical skills can support our Demand Planning and Supply Chain teams effectively.
Apply Through Our Website: We encourage you to apply through our website! Itâs the best way to ensure your application gets to us directly. Plus, it shows youâre keen on joining our team at StudySmarter. We canât wait to see what you bring to the table!
How to prepare for a job interview at Frank Wills Recruitment
â¨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, and Power BI. Be ready to discuss how you've used these tools in past roles, especially in relation to handling large data sets. If you can share specific examples of reports or dashboards you've created, thatâll really impress them!
â¨Understand the Supply Chain
Familiarise yourself with the basics of demand planning and supply chain processes. Even if you haven't owned a demand plan before, showing that you understand how your analytical work supports these functions will demonstrate your value to the team.
â¨Prepare for Scenario Questions
Expect questions that ask you to analyse data trends or solve hypothetical problems related to forecasting. Practise explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to communicate complex insights effectively.
â¨Show Your Adaptability
Since the role involves working in a fast-paced environment with changing priorities, be prepared to discuss times when you've had to adapt quickly. Highlight your flexibility and how you manage multiple data streams, as this will resonate well with the interviewers.