Graduate Planning & Data Analyst Job Details | Ametek, Inc.
Leicester, LEC, GB, LE49JD
Full-time
Onsite
New Grad
AMETEK is a company seeking a Graduate Planning & Data Analyst to support data capture, integrity management, and capacity planning. The role involves developing dashboards, auditing data, and collaborating across teams to enhance operational efficiency.
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
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
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
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
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
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
Qualification
Required
A recently completed Bachelor's/ master's degree in supply chain management, Industrial Engineering, Business Analytics, or a related quantitative field
High proficiency in Microsoft Excel, including the use of advanced formulas (XLOOKUP, Index/Match), PivotTables, and Power Query for data cleansing
Familiarity with the concept of AI agents and how they can be applied to supply chain efficiency
Proven ability to build and manage functional dashboards (Excel or Power BI) that translate raw data into clear operational insights
A meticulous approach to data capture, with the ability to identify discrepancies and ensure high integrity in inventory and production records
Strong competency in capacity planning and resource management logic (balancing labor, machinery, and time constraints)
Ability to work effectively on a fast-paced production floor and communicate clearly with the Master Production Scheduler and other stakeholders
A proactive 'investigative' mindset with a strong desire to understand the root causes of operational challenges
Preferred
Basic knowledge of Python or SQL, or a demonstrated interest in learning these to automate manual data tasks
Experience in documenting workflows and identifying 'friction points' that are suitable for automation
Previous exposure to inventory optimisation techniques (e.g., Safety Stock calculations or EOQ modelling) during academic projects or internships
Foundational understanding of Lean manufacturing principles to help minimise waste in the production area
Any previous experience, internship or placement within a manufacturing, production, or logistics environment
Basic exposure to SQL or Python, specifically for the purpose of automating repetitive data tasks
Comfort working in a 'boots-on-the-ground' production environment and interacting directly with shop-floor
Benefit
AMETEK is a manufacturer of electronic instruments and electromechanical devices.
