Main Duties/Responsibilities
* 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.
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.
About AMETEK
AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.
AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers’ most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500. Visit https://www.ametek.com/careers for more information.
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