At a Glance
- Tasks: Support demand forecasting for the Finnish market and collaborate with the UK team.
- Company: Join Arla, a leading dairy company committed to quality and sustainability.
- Benefits: Enjoy competitive salary, 26 days holiday, hybrid working, and a free gym.
- Why this job: Make an impact through data analytics and advanced forecasting in a dynamic environment.
- Qualifications: Experience in demand planning, strong analytical skills, and teamwork abilities required.
- Other info: Christmas cheese hamper and flexible benefits like additional leave and retail discounts.
The predicted salary is between 36000 - 60000 £ per year.
We are currently seeking a Demand Forecasting Specialist to join our team. This role will provide essential support to our Finnish market and colleagues, whilst working alongside our UK Demand Planning team.
What do we offer?
- Competitive salary (salary discussed at application stage)
- 26 days holiday & Bank Holidays
- Hybrid & flexible working
- Pension contribution matched up to 6%
- 4 x annual salary life assurance
- Free to use onsite Gym
- Access to discounted products in our Staff Shop
- People agenda commitment to training and development
- Flexible Benefits- buy up to 5 days additional annual leave, reward gateway scheme- discounts with various retailers via my benefit platform.
- Most importantly - Cheese hamper at Christmas!
How will you make an impact?
Reporting into the Demand Planning Manager in Finland, this role will play a pivotal part in improving planning efficiency through data analytics and advanced forecasting. Key responsibilities include data assessment, maintaining baseline forecasts, and applying machine learning for accurate forecasting. A deep understanding of demand patterns, product lifecycles, and market trends is essential. Further responsibilities include:
- Maintain master data and planning parameters for demand planning, and ensure data completeness and quality.
- Review automatic cleansing processes and ensure the final output (cleansed data) is completed in the system.
- Generate and analyse historical demand performance reports, incorporating relevant actions into future forecasting.
- Provide initial baseline forecasts for phase-in/phase-out products.
- Select and manage appropriate statistical models for demand segmentation, and run and adjust statistical baseline forecasts and advanced modelling.
- Monitor and report on forecasting KPIs, and provide descriptive and diagnostic insights about previous cycles forecast performance.
What will make you successful
The ideal candidate will have:
- Strong experience within demand planning and demand planning systems (Experience with SAP IBP is a strong advantage)
- Excellent data and analytical skills
- Experience within a fast-paced FMCG environment is preferable.
- Technical proficiency
- Possesses strong collaboration, organisation and teamwork skills
If you are enthusiastic about joining our team and meet the qualifications listed above, we would love to hear from you. Please apply as soon as possible as we will process applications on a continuous basis and close the recruitment once the right candidate is found. For additional information, please contact Olivia Pine, Talent Acquisition Partner at Arla Foods. The closing date for this position is the 21st April 2025 and only CVs sent directly via the link will be considered.
Demand Planning Analyst in Leeds employer: Arla Foods Plc
Contact Detail:
Arla Foods Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Demand Planning Analyst in Leeds
✨Tip Number 1
Familiarise yourself with demand planning systems, especially SAP IBP, as this is a strong advantage for the role. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering the tools used in the industry.
✨Tip Number 2
Network with professionals in the FMCG sector, particularly those involved in demand planning. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you stand out during the application process.
✨Tip Number 3
Stay updated on market trends and demand patterns relevant to the Finnish market. This knowledge will not only prepare you for interviews but also show your proactive approach and genuine interest in the role and the company.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analytics to improve forecasting accuracy in previous roles. Highlighting your analytical skills with real-world applications can significantly boost your chances of impressing the hiring team.
We think you need these skills to ace Demand Planning Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in demand planning and any relevant systems, especially SAP IBP. Use specific examples that demonstrate your analytical skills and familiarity with FMCG environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention how your skills align with the responsibilities listed in the job description, particularly in data analytics and forecasting.
Highlight Relevant Experience: In your application, emphasise your previous roles that involved demand forecasting and data analysis. Discuss any successful projects or initiatives you led that improved planning efficiency.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Arla Foods Plc
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Demand Planning Analyst. Familiarise yourself with demand forecasting, data analytics, and the specific tools mentioned in the job description, such as SAP IBP.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data assessment and forecasting models. Bring examples of how you've used data to improve planning efficiency in previous roles, especially in a fast-paced FMCG environment.
✨Demonstrate Collaboration
Since this role involves working closely with teams in both Finland and the UK, be ready to share examples of how you've successfully collaborated with colleagues across different departments or locations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to demand planning and how they utilise machine learning in their forecasting processes. This shows your genuine interest in the role and the company.