At a Glance
- Tasks: Lead demand planning and analytics to improve forecast accuracy and drive smarter business decisions.
- Company: Dynamic company focused on data-driven decision-making in supply chain management.
- Benefits: Competitive salary, flexible working options, and continuous learning opportunities.
- Other info: Collaborative environment with significant growth potential and investment in modern analytics tools.
- Why this job: Make a real impact by transforming data into actionable insights for the business.
- Qualifications: Experience in demand planning, strong analytical skills, and proficiency in SQL and Excel.
The predicted salary is between 55000 - 65000 £ per year.
Remote / Hybrid / In Office - any combination (London or Leeds office)
£55,000 - £65,000 + benefits
The Opportunity
We're looking for a commercially minded Demand Planning & Analytics Manager who combines strong forecasting expertise with modern data analytics skills. This role sits at the intersection of supply chain planning, business intelligence, and data science. You'll be responsible for improving forecast accuracy, identifying demand trends, building analytical tools, and helping the business make smarter inventory and supply decisions. You'll work closely with Sales, Operations, Supply Chain, Finance, and senior leadership to transform data into actionable insights that improve service levels, inventory performance, and business outcomes. This is an excellent opportunity for someone who enjoys both the operational side of demand planning and the technical challenge of working with data.
What You'll Be Doing
- Demand Planning & Forecasting
- Develop and maintain demand forecasts across product categories and customer channels.
- Analyse historical sales, market trends, promotional activity, seasonality, and customer demand patterns.
- Improve forecast accuracy through statistical and data-driven forecasting techniques.
- Lead forecast review meetings with key stakeholders.
- Monitor forecast performance and implement continuous improvements.
- Data Analytics & Insights
- Build dashboards, reports, and analytical tools that support planning and commercial decision-making.
- Identify trends, risks, and opportunities within sales, inventory, and operational data.
- Conduct scenario modelling and demand sensitivity analysis.
- Provide clear recommendations based on quantitative analysis.
- Support business planning, budgeting, and S&OP processes.
- Data & Systems Development
- Extract, clean, and analyse data using SQL, Excel, Power BI, and Python.
- Develop automated reporting solutions to reduce manual effort.
- Improve data quality and consistency across planning systems.
- Support the development of forecasting models and predictive analytics capabilities.
- Partner with technology teams to enhance planning and reporting platforms.
What We're Looking For
- Essential
- Proven experience in Demand Planning, Supply Chain Planning, Forecasting, or Inventory Planning.
- Strong analytical and problem-solving skills.
- Advanced Excel skills.
- Experience using SQL to interrogate and analyse data.
- Experience building dashboards in Power BI, Tableau, or similar BI tools.
- Ability to communicate complex data insights to non-technical stakeholders.
- Strong stakeholder management and cross-functional collaboration skills.
- Experience working with large datasets and identifying actionable business insights.
- Desirable
- Python, R, or other analytical programming experience.
- Exposure to statistical forecasting techniques.
- Experience with machine learning or predictive analytics.
- Knowledge of ERP, planning, or supply chain systems.
- Experience supporting S&OP or Integrated Business Planning processes.
- Background in FMCG, Retail, Manufacturing, Distribution, or Supply Chain environments.
Success in This Role
Within your first 12 months, you'll be expected to:
- Improve forecast accuracy and forecast bias.
- Deliver meaningful inventory and service-level improvements.
- Build scalable reporting and planning dashboards.
- Increase visibility of demand risks and opportunities.
- Establish trusted partnerships across commercial and operational teams.
- Help drive a more data-driven planning culture.
Why Join Us?
- High-impact role with visibility across the business.
- Opportunity to combine planning, analytics, and data science.
- Significant scope to influence processes and decision-making.
- Collaborative and supportive environment.
- Ongoing investment in learning, development, and modern analytics tools.
If you're passionate about turning data into better business decisions and enjoy solving complex forecasting challenges, we'd love to hear from you.
Demand Planning & Analytics Manager in England employer: W Talent
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work environment in either London or Leeds. As a Demand Planning & Analytics Manager, you'll benefit from ongoing investment in your professional development, access to modern analytics tools, and the opportunity to make a significant impact on business outcomes. With a strong focus on employee growth and a supportive culture, this role is perfect for those looking to thrive in a data-driven landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Demand Planning & Analytics Manager in England
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We think you need these skills to ace Demand Planning & Analytics Manager in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at W Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at W Talent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at W Talent!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
