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Graduate Planning & Data Analyst

AMETEK, Inc. -
Leicester

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Job details

Internship
10 days ago

Qualifications

Power BI
Microsoft Excel
Engineering
Master's degree
SQL
Six Sigma
Bachelor's degree
Systems engineering
Data science
AI
Python

Full job description

Location: Leicester, LEC, GB, LE49JD

Business Unit: Nul

Posting Date: Jun 3, 2026

Job Description:

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 And Desirable Skills:

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-floo

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.

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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