At a Glance
- Tasks: Collect and analyse operational data to enhance production efficiency.
- Company: Join a leading manufacturing firm focused on innovation and teamwork.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on AI and automation.
- Why this job: Make a real impact by optimising production processes with data-driven insights.
- Qualifications: Recent degree in supply chain management or related field; strong Excel skills required.
The predicted salary is between 25000 - 32000 £ per year.
Location: Leicester, LEC, GB, LE49JD
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 which points 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.
Compensation
- Currency: GBP
- Salary Minimum: Market
- Salary Maximum: Market
- Incentive: Market
Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market/business considerations, and geographic location.
Graduate Planning & Data Analyst employer: AMETEK, Inc.
Join our dynamic team in Leicester as a Graduate Planning & Data Analyst, where we prioritise employee growth and development through continuous learning opportunities and a collaborative work culture. Our commitment to innovation is reflected in our use of advanced data visualisation tools and AI integration, ensuring that you will be at the forefront of modern supply chain management. Enjoy a supportive environment that values your contributions and fosters meaningful career progression.
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
Prepare for interviews by practising common questions and scenarios related to data analysis and planning. Use mock interviews with friends or family to build confidence and get feedback.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your data visualisation projects, dashboards, or any relevant coursework. This gives you a tangible way to demonstrate your capabilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 Graduate Planning & Data Analyst role. Highlight your data manipulation skills, especially in Excel, and any relevant projects or internships that showcase your analytical thinking.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about supply chain management and how your background makes you a great fit for our team. Don’t forget to mention your interest in AI and automation!
Showcase Your Data Skills:Since this role involves a lot of data work, be sure to include examples of how you've used data visualisation tools like Power BI or Excel in your previous experiences. This will help us see your practical skills in action.
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. Plus, it shows us you’re keen on joining StudySmarter!
How to prepare for a job interview at AMETEK, Inc.
✨Know Your Data
Before the interview, brush up on your data manipulation skills, especially in Excel. Be ready to discuss how you've used advanced formulas and PivotTables in past projects or coursework. This will show that you can handle the data integrity management aspect of the role.
✨Visualisation is Key
Familiarise yourself with dashboard development tools like Power BI. Prepare examples of dashboards you've created or worked on, and be ready to explain how they helped stakeholders make informed decisions. This will demonstrate your ability to translate raw data into actionable insights.
✨Scenario Modelling Savvy
Think about potential 'what-if' scenarios related to production scheduling and resource allocation. Be prepared to discuss how you would approach these situations using data. This shows your analytical thinking and problem-solving skills, which are crucial for this role.
✨Show Your Curiosity
During the interview, express your interest in AI and automation. Share any relevant experiences or projects where you explored these concepts. This will highlight your proactive mindset and eagerness to learn, aligning perfectly with the company's focus on intelligent planning.
