
Senior Demand Planning Manager
Naked Wines
full-time
Posted on:
Location Type: Hybrid
Location: Norwich • 🇬🇧 United Kingdom
Visit company websiteSalary
💰 £40,000 - £50,000 per year
Job Level
Senior
Tech Stack
ERPNumpyOraclePandasPythonScikit-LearnSQLTableau
About the role
- Lead and improve the S&OP demand planning process using data-driven forecasting.
- Create, maintain, and enhance demand forecasts across all product segments.
- Build forecasting models using Python, SQL, and advanced Google Sheets.
- Apply statistical forecasting techniques, including time-series modelling, regression methods, and machine learning approaches.
- Use scenario planning to model promo uplift, market uncertainty, trend shifts, and best/worst-case demand outcomes.
- Analyse demand drivers, seasonality, customer behaviour, and commercial impacts to improve forecast accuracy.
- Work closely with Sales, Marketing, Supply, Finance, Category Management, Logistics, and Operations to align demand assumptions.
- Present forecast results, demand risks, and opportunities in S&OP meetings with clear, evidence-based recommendations.
- Support portfolio and innovation planning by forecasting new wines and product launches.
- Monitor market trends, portfolio performance, product lifecycle stages, and customer behaviour to identify opportunities.
- Track and report forecasting KPIs including accuracy, bias, baseline stability, promo uplift accuracy, and demand variability.
- Carry out root-cause analysis when forecasts differ from actual results.
- Improve forecasting tools, automation workflows, dashboards, and data pipelines.
Requirements
- Experience in demand planning, forecasting, or S&OP within a product-led or fast-moving environment.
- Strong analytical skills with the ability to interpret complex datasets.
- Knowledge of statistical methods such as time-series forecasting, regression analysis, clustering, or machine learning.
- Advanced Python skills (pandas, NumPy, statsmodels, scikit-learn, Prophet) for forecasting model development.
- Proficiency in SQL for data extraction and modelling.
- High capability in Google Sheets for analytical modelling and scenario analysis.
- Experience using data visualisation tools (Power BI, Tableau, Looker).
- Ability to automate forecasting workflows and improve data quality.
- Experience with ERP/MRP or planning systems (e.g., SAP, Oracle, NetSuite) is beneficial.
- Ability to explain analytical findings in a clear, structured way.
- Experience working with cross-functional teams to support alignment across commercial and operational functions.
- Confidence discussing forecast assumptions, risks, and demand drivers with both technical and non-technical audiences.
- Understanding of commercial planning, promotional strategies, product lifecycles, and sales processes.
- Knowledge of how demand planning connects to supply planning and inventory strategy.
- Ability to consider service levels, operational feasibility, and financial goals when forecasting.
- Strong attention to detail and accuracy in forecasting and reporting.
- Ability to organise and prioritise tasks across multiple forecasting cycles.
- Comfort working with evolving inputs and changing circumstances.
Benefits
- A competitive salary of £40-50k pa (depending on location) plus annual bonus opportunity
- Personal Healthcare
- 26 days holiday and bank holidays (you can buy or sell holiday too)
- A £300 annual personal development budget - we're passionate about supporting people to follow their dreams inside or outside of Naked
- £450 every year to treat yourself to some of our delicious wines...all in the name of research, of course
- We want to do our bit for the community and give everyone paid leave to volunteer
- We have Wellbeing Champions and access to mindfulness resources including the Headspace app
- Enhanced parental leave
- Honeymoon leave - newlyweds get an extra week of annual leave
- We like to surprise and delight you with lovely thoughtful gifts including Naked Wine and lots more...
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
demand planningforecastingstatistical forecastingtime-series modellingregression methodsmachine learningPythonSQLdata analysisdata automation
Soft skills
analytical skillscommunicationcross-functional collaborationattention to detailorganisational skillsproblem-solvingadaptabilitypresentation skillscritical thinkingprioritisation