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For Companies At a Glance
- Tasks: Transform data into insights and build forecasting models for smarter decision-making.
- Company: Join a forward-thinking organisation focused on data-driven strategies.
- Benefits: Competitive salary, hybrid working, generous holiday, and personal development opportunities.
- Why this job: Make a real impact by shaping business strategies with your analytical skills.
- Qualifications: Strong analytical skills and experience in forecasting modelling required.
- Other info: Collaborative environment with a focus on innovation and career growth.
The predicted salary is between 36000 - 58000 £ per year.
Your Role
In this position, you’ll play a key part in transforming data into meaningful insight that supports smarter decision‑making across the organisation. You’ll use data, technology and analytical techniques to build and refine forecasting models that help create a more predictable and efficient business. You’ll be joining a wider insight and performance function that delivers analysis, research and business intelligence to support operational and strategic priorities. You’ll work closely with stakeholders at all levels, ensuring forecasts reflect business needs and evolving market conditions. You’ll also stay informed about emerging trends in data tools, analytical methods and forecasting innovation to help strengthen the organisation’s insight capabilities.
Key Responsibilities
- Analyse, validate and interpret data to produce accurate and actionable forecasts.
- Build, refine and maintain forecasting models to support operational and strategic planning.
- Collaborate with stakeholders across the organisation to ensure forecasts align with business objectives.
- Monitor forecasting accuracy and continuously improve modelling approaches.
- Keep up to date with new data tools, analytical techniques and forecasting methodologies.
- Contribute to a broader insight function focused on performance management, customer understanding and business intelligence.
What you’ll need to succeed
- Strong analytical skills and excellent attention to detail.
- Proven experience in forecasting modelling and accuracy measurement.
- Solid understanding of forecasting methodologies and best practices.
- Proficiency with analytical tools such as Power BI, Python, and Excel.
- Ability to interpret complex data and translate it into meaningful insight.
- Strong communication skills, with confidence engaging stakeholders at all levels.
- Experience working collaboratively within cross‑functional teams.
What you’ll get in return
- Salary up to £38,980
- Hybrid working (3 days a week in Yeovil)
- 28 days holiday + the opportunity to buy and sell holiday
- Generous pension scheme with contributions up to 10%
- Life assurance
- Personal development opportunities
Forecasting Analyst in Yeovil employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forecasting Analyst in Yeovil
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to forecasting and data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of your forecasting models and insights to the interview. This will not only demonstrate your skills but also give you a chance to discuss how you can contribute to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Forecasting Analyst in Yeovil
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your analytical skills and experience in forecasting. We want to see how your background aligns with the role, so don’t hold back on showcasing relevant projects or tools you've used!
Showcase Your Skills: When detailing your experience, focus on your proficiency with analytical tools like Power BI, Python, and Excel. We love seeing specific examples of how you've built or refined forecasting models, so be sure to include those details!
Engage with Stakeholders: Since collaboration is key in this role, mention any experiences where you’ve worked with different teams or stakeholders. Highlight your communication skills and how you’ve ensured forecasts meet business needs – it’ll make you stand out to us!
Stay Current: We’re keen on candidates who keep up with emerging trends in data tools and forecasting methodologies. If you’ve recently learned a new technique or tool, mention it! It shows your commitment to continuous improvement and innovation.
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Data Tools
Make sure you brush up on your skills with analytical tools like Power BI, Python, and Excel. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of forecasting methodologies.
✨Showcase Your Analytical Skills
Prepare examples that highlight your strong analytical skills and attention to detail. Think about specific instances where you’ve analysed data to produce actionable forecasts, and be ready to explain your thought process during the interview.
✨Engage with Stakeholders
Since you'll be collaborating with stakeholders at all levels, practice how you communicate complex data insights in a clear and engaging way. Consider role-playing with a friend to refine your ability to explain your forecasts and their implications for the business.
✨Stay Updated on Trends
Research emerging trends in data tools and forecasting methodologies before your interview. Being able to discuss recent innovations or best practices will demonstrate your commitment to continuous improvement and your proactive approach to enhancing the organisation’s insight capabilities.
