At a Glance
- Tasks: Capture and manage data to optimise production processes and support planning.
- Company: Join a forward-thinking company focused on innovation in supply chain management.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on AI and automation in planning.
- Why this job: Make a real impact by using data to drive efficiency and solve operational challenges.
- Qualifications: Recent degree in supply chain, engineering, or analytics; strong Excel skills required.
The predicted salary is between 28000 - 35000 £ per year.
Main Duties/Responsibilities:
- Data Capture & Integrity Management
- Source Data Collection: Responsible for the daily collection of raw operational data from the production floor, including machine uptime, labor hours, and output volumes.
- Data Auditing: Perform regular 'sanity checks' and audits on captured data to ensure absolute accuracy before it is used for planning or reporting.
- Inventory Tracking: Capture and maintain real-time data regarding raw materials, work-in-progress (WIP), and finished goods to prevent shortages and excess.
- Dashboard Development & Visualisation
- Performance Visualisation: Build, update, and maintain functional dashboards (using Excel or Power BI) that track key metrics.
- Stakeholder Reporting: Prepare clear visual reports for production meetings, helping stakeholders quickly identify trends and operational bottlenecks.
- Automation of Reporting: Streamline existing manual reporting processes to ensure data is updated with minimal delay.
- Capacity & Resource Planning Support
- Production Scheduling Support: Work closely with the Master Production Scheduler (MPS) to align daily production schedules with available labor and machine capacity.
- Scenario Modelling: Help simulate 'what-if' scenarios (e.g., the impact of a machine breakdown or an urgent order) to help the team pivot quickly.
- Resource Allocation: Monitor resource constraints and provide data-backed recommendations on how to best distribute personnel and equipment to meet targets.
- Daily Operational Problem Solving
- Bottleneck Identification: Use data captured from the floor to pinpoint specific areas where production is slowing down and propose immediate solutions.
- Cross-Functional Collaboration: Act as the 'data bridge' between the planning office and the production floor, ensuring communication is based on accurate facts.
- AI & Automation
- Process Mapping: Document current manual planning workflows to identify candidates for AI-driven automation.
- Continuous Learning: Proactively up-skill in AI tools and frameworks to transition traditional planning into 'intelligent' planning.
- AI Integration: Lead and assist in the deployment of intelligent AI agents designed to automate routine data entry and predictive scheduling. Train internal stakeholders to use AI agents and provide support in challenges and issues.
Essential Skills:
- Education: A recently completed Bachelor’s/ Master’s degree in supply chain management, Industrial Engineering, Business Analytics, or a related quantitative field.
- Advanced Data Manipulation: High proficiency in Microsoft Excel, including the use of advanced formulas (XLOOKUP, Index/Match), PivotTables, and Power Query for data cleansing.
- AI & Automation Interest: Familiarity with the concept of AI agents and how they can be applied to supply chain efficiency.
- Data Visualisation: Proven ability to build and manage functional dashboards (Excel or Power BI) that translate raw data into clear operational insights.
- Data Accuracy & Auditing: A meticulous approach to data capture, with the ability to identify discrepancies and ensure high integrity in inventory and production records.
- Analytical Thinking: Strong competency in capacity planning and resource management logic (balancing labor, machinery, and time constraints).
- Collaborative Problem-Solving: Ability to work effectively on a fast-paced production floor and communicate clearly with the Master Production Scheduler and other stakeholders.
- Innate Curiosity: A proactive 'investigative' mindset with a strong desire to understand the root causes of operational challenges.
Desirable Skills:
- Programming Foundations: Basic knowledge of Python or SQL, or a demonstrated interest in learning these to automate manual data tasks.
- Process Mapping: Experience in documenting workflows and identifying 'friction points' that are suitable for automation.
- Inventory Modelling: Previous exposure to inventory optimisation techniques (e.g., Safety Stock calculations or EOQ modelling) during academic projects or internships.
- Lean/Six Sigma: Foundational understanding of Lean manufacturing principles to help minimise waste in the production area.
Qualifications or Relevant Work Experience:
- Recently completed Bachelor’s/ Master’s degree (or equivalent) in one of the following: Supply Chain Management / Logistics, Industrial or Systems Engineering, Business Analytics / Data Science.
Desirable Experience:
- Internship/ Experience: Any previous experience, internship or placement within a manufacturing, production, or logistics environment.
- Programming: Basic exposure to SQL or Python, specifically for the purpose of automating repetitive data tasks.
- Production Floor Familiarity: Comfort working in a 'boots-on-the-ground' production environment and interacting directly with shop-floor personnel.
Graduate Planning & Data Analyst employer: AMETEK
As a Graduate Planning & Data Analyst, you will thrive in a dynamic work environment that champions innovation and collaboration. Our company offers a supportive culture with ample opportunities for professional growth, including training in AI tools and frameworks, ensuring you stay at the forefront of industry advancements. Located in a vibrant area, we provide a unique blend of hands-on experience and strategic insight, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Planning & Data Analyst
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the industry. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Get your hands dirty with some real-world experience. Consider internships or volunteer opportunities related to data analysis or supply chain management. It’s a great way to beef up your CV and show you’re serious about the field.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data integrity and operational problem-solving. Use examples from your studies or any projects to showcase your skills and analytical thinking.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your passion for AI and automation in supply chain management.
We think you need these skills to ace Graduate Planning & Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data manipulation skills, especially in Excel and any relevant projects you've done in supply chain management.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how your background makes you a great fit for the role. Don't forget to mention any experience with AI tools or automation!
Showcase Your Analytical Skills:In your application, provide examples of how you've used data to solve problems or improve processes. We love seeing candidates who can think critically and back up their claims with real-world examples.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at AMETEK
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with, like machine uptime and output volumes. Brush up on your Excel skills, especially advanced formulas and PivotTables, as these will be crucial for the role.
✨Showcase Your Analytical Skills
Prepare to discuss how you've used data to solve problems in the past. Think of examples where you identified bottlenecks or improved processes, and be ready to explain your thought process and the outcomes.
✨Get Comfortable with Visualisation Tools
If you have experience with Power BI or dashboard creation, be sure to highlight it. Bring examples of dashboards you've built or worked on, and be prepared to discuss how they helped stakeholders make informed decisions.
✨Demonstrate Your Curiosity
Employers love candidates who are eager to learn. Be ready to talk about any AI tools or automation techniques you’ve explored, and express your interest in continuous learning and improvement within the field.
