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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graduate Planning & Data Analyst - **Company:** AMETEK.Inc - **Location:** Leicester, UK - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Microsoft Excel, Artificial Intelligence, Application Integration Architecture, Systems Engineering, Computer Programming, Data Auditing, Data Cleansing, Data Visualization, Excel Formulas, Inventory Management Software, Python (Programming Language), Uptime, Operational Data Store, Pivot Tables, Raw Data, Power BI, SQL Databases, Data Processing, Powerquery, Real Time Data - **Published:** June 5, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=f5018a906d4a0c4f ## About the Role Do you have experience in Systems engineering?, Do you have a Master's degree?, * 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-floo ## Description 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree)