At a Glance
- Tasks: Lead demand forecasting for a high-value product portfolio and influence key commercial decisions.
- Company: Established UK infrastructure organisation with a focus on growth and investment in people.
- Benefits: Competitive salary, bonus, pension, flexible working, and extensive training opportunities.
- Other info: Dynamic role with excellent career progression in a supportive environment.
- Why this job: Make a real impact by turning data into actionable insights that drive business success.
- Qualifications: Strong analytical skills, commercial acumen, and experience with large datasets.
The predicted salary is between 70000 - 90000 £ per year.
Own the demand and revenue forecast for a strategically important, high-value product portfolio. You'll turn messy, conflicting data into the single trusted view the business plans against, influencing how revenue and resource get committed across the country. If you love building forecasts that genuinely move commercial decisions, and presenting that story to people who act on it, this is your seat.
This business is a large, well-established UK infrastructure and services organisation operating at national scale, in the middle of a significant multi-year investment and growth programme. It's a business that invests heavily in its people, gives you real commercial influence early, and offers a genuine path to grow your forecasting and analytics career across a major, complex operation.
You'll lead volume and revenue forecasting for a major high-value product portfolio. Day to day you'll produce forecasts of new sales, the existing base and revenue, then explain the movements, trends and risks behind them to the teams who plan resource, manage supply chains and make the big commercial calls.
This is a true analyst-storyteller role. You'll work across sales, finance, commercial, strategy, product and capacity planning, often dealing with contradictory information and using your judgement to extract the real signal from conflicting data. You'll assess how special offers, discounts, bespoke pricing and product substitution shift demand, and you'll be the unbiased, independent voice the business relies on.
What matters is that you're a strong commercial forecaster who can handle large datasets, build robust models, and make the numbers make sense to a room of senior stakeholders.
Skills & Experience- Strong analytical skills with a proven ability to turn data into accurate forecasts
- Commercial acumen and sound commercial judgement
- Confidence handling large datasets and complex Excel models without losing attention to detail or the bigger picture
- Excellent stakeholder skills - able to build relationships, challenge, influence and negotiate to a clear outcome
- Comfortable extracting key signals from contradictory or incomplete data using your own judgement
- Able to deliver to tight, sometimes conflicting, deadlines
- Educated to degree level or equivalent business experience, ideally in a numerate discipline
- Business forecasting or demand planning experience
- Experience using Anaplan
- Familiarity with BI tools such as Power BI or Tableau
- Experience presenting data-led insight to senior stakeholders
- Lead volume and revenue forecasting for a major high-value product portfolio
- Produce geographic forecasts of orders, completions and revenue using customer insight and statistical analysis
- Identify, track and explain risks and opportunities, and the progression of major projects against forecast
- Work with sales and customer teams to build the most accurate possible view of demand
- Assess the impact of offers, discounts, bespoke pricing and product substitution on demand
- Present forecasts and analysis, proactively and reactively, to support key commercial decisions
- Enable sales, finance, commercial, strategy, product and capacity planning teams to use the forecast effectively
- Drive continuous improvement in forecasting quality and efficiency
- Provide ad hoc analysis to support business decisions
- Commercial Judgement - Able to read the business context behind the numbers and form an independent, defensible point of view
- Data Storytelling - Turns complex analysis into a clear narrative that senior stakeholders can act on
- Stakeholder Influence - Builds trust across functions and can challenge and negotiate to a successful conclusion
- Attention to Detail - Handles large, complex models without errors while keeping sight of the bigger picture
- Self-Direction - Highly self-motivated, structured and able to deliver under pressure to tight deadlines
- On-target bonus
- Company pension scheme
- 25 days annual leave plus bank holidays, increasing with service
- Share saving schemes
- Smart working with flexibility to work from home
- Wide range of flexible benefits including healthcare, cycle to work and season ticket loan
- World-class training and development opportunities
Demand Forecasting Manager | Commercial Analytics in Slough employer: Jarvis King
As a Demand Forecasting Manager at this large, well-established UK infrastructure and services organisation in London, you'll be part of a dynamic team that values your insights and fosters a culture of collaboration and innovation. With excellent benefits including a competitive salary, hybrid working options, and extensive training opportunities, this company is committed to investing in your professional growth while allowing you to make a significant impact on commercial decisions. Join a forward-thinking environment where your analytical skills will not only be recognised but also rewarded, as you help shape the future of a high-value product portfolio.
StudySmarter Expert Advice🤫
We think this is how you could land Demand Forecasting Manager | Commercial Analytics in Slough
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jarvis King.
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When you find a suitable opening like Demand Forecasting Manager | Commercial Analytics at Jarvis King, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Demand Forecasting Manager | Commercial Analytics in Slough
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!
Craft a Tailored Cover Letter:For a full-time role at Jarvis King, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jarvis King. 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 Jarvis King
✨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 Jarvis King!
✨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.
