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Capacity Manager (Data Analysis and Forecast Planning)

Pod Talent

England

On-site

GBP 30,000 - 60,000

Full time

22 days ago

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Job summary

An innovative startup is seeking a Capacity Manager to optimize workforce supply and demand within their logistics operations. This hands-on role involves utilizing data analysis and forecasting models to ensure efficient scheduling and capacity management. The ideal candidate will possess strong mathematical skills and a detail-oriented mindset, capable of translating complex data into actionable plans. Join a dynamic team that is redefining the future of sustainable delivery, where your contributions will directly impact operational success and customer satisfaction.

Qualifications

  • 2+ years of experience in a similar role, focusing on data analysis and forecasting.
  • Strong mathematical ability and detail-oriented approach to operations.

Responsibilities

  • Develop accurate demand forecasts to align workforce supply with parcel demand.
  • Plan and manage staffing capacity for logistics functions and monitor key metrics.

Skills

Data Analysis
Mathematical Skills
Problem-Solving
Attention to Detail
Team Collaboration

Tools

Excel
Google Sheets
SQL
Python
Power BI

Job description

Capacity Manager (Data Analysis and Forecast Planning)

Pod Talent is the retained talent partner of HIVED and is managing all applications for this role.

About HIVED

At HIVED, we’re steamrolling forward as one of Europe’s fastest-growing startups, and our momentum shows no signs of slowing. Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers disrupt parcel delivery and provide an outstanding customer experience.

Already trusted by leading international brands such as Zara, Uniqlo, ASOS, Nespresso and more, we are solidifying our position as the leaders in Europe to tackle this growing market.

Our tight-knit team is made up of ex-Revolut, Amazon, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures, Yamato and the British government. We’re passionate about driving innovation and redefining the future of delivery.

Role Overview

As a Capacity Manager, you will be responsible for ensuring that HIVED’s workforce supply matches parcel demand efficiently. Your role is central to forecasting, scheduling, and managing capacity across our operations, including drivers, sortation teams, and other hourly paid staff. You will work closely with the Planning Lead, using data analysis, forecasting models, and operational insights to maintain optimal efficiency while ensuring high-quality service. This is a hands-on role requiring strong mathematical skills, attention to detail, and the ability to translate data into real-world planning decisions.

Key Responsibilities

  • To build and develop an accurate demand forecast, ensuring we have the right number of people to meet operational needs.
  • Ability to balance both day-to-day operations and long-term strategic initiatives while actively identifying areas of opportunity and potential risks.
  • Plan and manage staffing capacity for drivers, sortation, and other logistics functions.
  • Develop and maintain scheduling, rotas, and workforce planning models.
  • Work with the Planning Lead and other key stakeholders to provide key inputs for network-wide decision-making.
  • Align with other internal teams to manage long-term capacity planning and operational requirements.
  • Support the development of planning tools to improve forecasting accuracy.
  • Monitor key metrics and proactively adjust capacity plans to prevent bottlenecks.

What We're Looking For

  • 2+ years of professional experience in a similar role (logistics background not required).
  • Comfortable working with detailed data analysis and future thinking activities, while also being able to handle day-to-day support activities for the operation, seamlessly switching between these tasks as needed.
  • Strong mathematical ability, capable of analysing data and applying it to real-world operations.
  • Proficiency in Excel, Google Sheets, and other data tools for analysis and planning.
  • Detail-oriented, with a structured approach to forecasting and scheduling.
  • Strong problem-solving mindset and ability to adapt to changing demands.
  • A team player, able to collaborate across multiple functions.

Nice-to-Have

  • Experience with workforce planning, scheduling, or capacity forecasting.
  • Familiarity with data analysis tools beyond Excel (e.g. SQL, Python, or Power BI).
  • Background in operations, engineering, or a highly analytical role.
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