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Graduate Planning & Data Analyst - Studentjob.co.uk

Leicester
Posted about 16 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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.

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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Skills

Data Capture
Data Integrity Management
Data Auditing
Inventory Tracking
Dashboard Development
Data Visualisation
Automation of Reporting
Production Scheduling
Scenario Modelling
Resource Allocation
Bottleneck Identification
Cross-Functional Collaboration
AI Integration
Analytical Thinking
Collaborative Problem-Solving
Innate Curiosity

Location

Leicester, England, United Kingdom

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