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 and disrupt parcel delivery.

A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better.

Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands 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, 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, NordicNinja VC and the British government. We’re passionate about driving innovation and redefining the future of delivery.

Role Overview

As the Senior Forecast Manager, you are responsible for creating the parcel volume forecast that the business operates from. This is an incredibly important and strategic role for ensuring that we can hit profitability goals, and is used across the business from finance to the driver teams. You will work closely with the Commercial team and our retailers to gain insight and information on launches, events and seasonality to ensure the best inputs and accuracy.

As part of the Network team, the central planning team in Operations, you will work alongside the Capacity Manager and Head of Network in making sure we have a clear vision of how our volumes changes over time. This is a hands-on role requiring strong analytical and mathematical skills, attention to detail, and the ability to translate anecdotal feedback into numbers. You will show thought leadership on how HIVED’s forecasting capabilities should evolve over time.

Key Responsibilities

• Maintain the parcel forecast for the next 12 months, and be responsible for the KPI of Forecast Accuracy
• Be the main Network point of contact for new retailer Go Lives, co-ordinating with the Commercial team
• Lead the roadmap for the development of the forecast - as we get more complex with more service offerings, new retailers and more service points.
• Provide detailed scenario analysis to enable a wide range of business planning activities
• Monitor key metrics and proactively flag anything required to the Capacity Manager to prevent capacity bottlenecks. Work with key stakeholders to provide key inputs for network-wide decision-making.
• Work with the Strategy and Expansion team on planning for new city launches

What We’re Looking For

• Strong mathematical ability, capable of analysing data and applying it to real-world operations.
• 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.
• Proficiency in Excel, Google Sheets, and other data tools for analysis and planning.
• Detail-oriented, with a structured approach to forecasting. You are able to spot patterns in noisy data and insightful enough to be able to apply real-world explanations to them.
• Strong problem-solving mindset and ability to adapt to changing demands.
• A team player, able to collaborate across multiple functions. You build strong relationships that enable respectful challenging conversations
• Background in forecasting in a fast moving environment, with 5+ years experience. You understand forecasting best practice and are comfortable demonstrating high professional standards.
• Nice to have:
  • Familiarity with data analysis tools beyond Excel (e.g. SQL, Python, or Power BI).
  • Background in operations, engineering, or a highly analytical role.

Benefits

• Dynamic working environment with a diverse and driven team
• Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role
• Hybrid working
• 25 days of holiday allowance plus public holidays
• Subsidised Private Medical Insurance including dental and vision
• Weekly team lunch and regular company socials
• MacBook Air or Windows Laptop (depending on your preference)
• Enhanced maternity/paternity/adoption policy
• Cycle to work scheme
• Dog friendly office