At a Glance
- Tasks: Lead data analytics to support decision-making and optimise supply chain performance.
- Company: Join Ball, a leader in sustainable aluminium packaging with a culture of integrity.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Other info: Diverse workplace committed to inclusion and making a difference.
- Why this job: Make a real impact on global sustainability while advancing your career.
- Qualifications: Degree in Maths/Finance, strong communication skills, and experience with Power BI.
The predicted salary is between 45000 - 55000 £ per year.
At Ball, integrity and trust are the foundation of who we are.
Guided by our core values —"We Care.
We Work.
We Win.”— we create a culture where every voice matters and every idea drives progress.
Further your career at Ball, a world leader in manufacturing sustainable aluminium packaging.
Achieve extraordinary things when you join our team, and make a difference in your professional development, the community, and around the globe!
Create a new future. Apply Today.
Position overview
The Senior Planning Analyst is responsible for leading data analytics and insights that support the Integrated Business Planning (IBP) process, customer demand forecasting, and Supply Chain and EMEA Leadership Team decision-making at tactical and strategic levels.
The role serves as the analytical focal point between Commercial, Customer Fulfilment, Demand Planning, Operations, and Supply Chain functions, ensuring data-driven decisions are made to optimize service, inventory, forecast accuracy, and business performance.
Your key responsibilities include
- Leadership Team Analytics & Decision Support
- Prepare executive-level reporting and presentations for Supply Chain and Business Leadership Teams.
- Deliver concise business insights and recommendations to support strategic decision-making.
- Develop and maintain leadership KPI scorecards and visual dashboards.
- Provide trend analysis, risk assessments, and performance forecasts.
- Support annual planning, strategic reviews, and transformation initiatives.
- Translate complex datasets into clear business narratives and actionable recommendations.
- Integrated Business Planning (IBP) Support
- Lead analytical support for the monthly IBP cycle, including Demand Review, Supply Review, Inventory Review, and Executive IBP meetings.
- Prepare, validate, and analyze demand, supply, inventory, service, capacity, and financial performance data.
- Develop and maintain IBP dashboards, scorecards, and performance reporting.
- Provide scenario modelling and what-if analysis to support business decisions.
- Identify supply chain risks, opportunities, and performance gaps and recommend corrective actions.
- Ensure alignment between demand plans, supply plans, inventory strategies, and financial targets.
- Customer SKU Demand Analysis & Forecast Facilitation
- Facilitate customer SKU-level demand analysis across key customers, channels, and markets.
- Own the analysis of customer forecasts, demand trends, and consumption patterns.
- Review demand signals to identify risks, opportunities, promotional impacts, seasonality, and market changes.
- Lead forecast accuracy and forecast bias analysis at customer, product, and SKU levels.
- Conduct root-cause analysis of forecast variances and recommend actions to improve forecast performance.
- Work closely with Sales, Customer Service, Commercial, and Demand Planning teams to review customer demand assumptions.
- Challenge and validate customer forecast submissions through data-driven insights.
- Support demand consensus activities by providing analytical recommendations and exception reporting.
- Ensure customer demand plans are accurately reflected within the IBP process.
- Develop customer demand performance dashboards and KPI reporting for leadership reviews.
- Highlight significant customer demand changes that may impact service, inventory, capacity, or financial performance.
- Supply Chain Performance Analytics
- Analyze end-to-end supply chain performance and operational effectiveness.
- Monitor key metrics including service levels, inventory health, forecast accuracy, OTIF, and supply plan adherence.
- Identify opportunities to optimize inventory, reduce waste, and improve working capital.
- Support continuous improvement initiatives through data-driven analysis.
- Measure business benefits and performance improvements resulting from supply chain projects.
- Reporting, Automation & Data Governance
- Design, develop, and maintain Power BI, Tableau, or equivalent analytics solutions.
- Automate reporting processes and improve data accessibility.
- Ensure accuracy, consistency, and governance of supply chain and commercial data.
- Collaborate with IT and business stakeholders to improve data infrastructure and reporting capabilities.
- Support implementation of advanced analytics, predictive forecasting, and AI-enabled planning tools.
What are we looking for?
- Relevant Degree or equivalent within a business discipline - prefereably in Maths / Finance discipline
- English language, spoken and written essential
- Able communicator at all levels of the organisation
- Power BI experience
- Positive, proactive attitude
- Strong technical skill in SAP, Word, Excel, power point
- Data visualisation tools desirable but not required
- Financial accounting desirable
- Automation experience desirable
Ball Corporation is an Equal Opportunity Employer.
We actively encourage applications from everybody, regardless of gender, age, ethnicity, faith, ability, or orientation.
Our products range from infinitely recyclable aluminium cans, cups to aerosol bottles solutions that enable our customers to contribute to a better world.
Each of us has a deep commitment to diversity and inclusion which is the foundation of our culture of belonging.
Everyone at Ball is making a difference by doing what we love.
Because what we create may change, but what we will always make is a difference.
Please note the advertised job title might vary from the job title on the contract due to local job title structure and global HR systems.
No agencies please.
Senior Data Analyst in Luton employer: Ball
At Ball Corporation, we pride ourselves on fostering a culture of integrity and trust, where every voice is valued and innovation thrives. As a Future Leader, you'll embark on an 18-month journey that not only accelerates your professional development through diverse assignments but also allows you to contribute to sustainable practices in a global manufacturing leader. Join us in making a meaningful impact within the community and beyond, while enjoying a supportive environment that champions diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Luton
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Analyst in Luton
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!
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Craft a Tailored Cover Letter:For a full-time role at Ball, 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 Ball. 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 Ball
✨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 Ball!
✨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.
