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HIVED

Finance Data Analyst

Hybrid

London, United kingdom

Mid level

Full Time

01-12-2025

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Skills

Python SQL Version Control Decision-making Trend Analysis Programming git Process Improvement Pandas Analytics

Job Specifications

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

Newly created role as a Finance Data Analyst introduced at a pivotal stage in our growth, with the opportunity to make a significant impact. A pivotal role aimed at taking the organisation to its next stage of maturity by strengthening the connection between Financial Reporting and Product/Operational teams.

The Finance Data Analyst will combine and align operational data into financial dashboards and reporting that drive profitability, cost efficiency, and strategic decision-making across the network.

Reporting to Finance, the role will be responsible for maintaining consistency and accuracy between operational systems and financial data outputs to drive accurate representation of performance in financial and BI outputs.

Responsibilities

Maintain and create central financial and operational BI dashboards to monitor KPIs such as cost per delivered parcel, vehicle utilisation, and contribution margin (profitability) by product offering / geographical location etc.
Collaborate with Finance and Data teams to close/improve data flow gaps and ensure performance is fully reflected in financial reporting.
Create automated reports for management and operational teams to support real-time decision-making.
Conduct variance and trend analysis across routes, depots, and customers to identify profit improvement opportunities.
Create and maintain high-level financial (dbt) data models in collaboration with embedded Analytics Engineers, ensuring that cost and revenue categories are always consistent with financial mappings.

Key Performance Indicators (KPIs)

Timeliness and accuracy of operational & financial dashboards.
Reduction in manual reporting effort through automation.
Data reliability and stakeholder satisfaction.
Impact through insights.

Requirements

Essential:

5+ years’ experience in BI, financial analysis, or data analytics.
Bachelor’s degree in Finance, Data Analytics, Business, or related discipline.
Strong proficiency writing clean and efficient SQL queries. Ideally: using dbt for scaleable data modelling and git for version control.
Previous experience using modern BI tools (we use Looker + LookML).
Requires a strong, end-to-end understanding of data flows.
Understanding of financial statements and cost allocation in operations.

Personal Attributes:

Strong analytical mindset.
Curious, adaptable, detail-oriented with a proactive approach to process improvement.
Able to explain complex data clearly to non-technical stakeholders.
Comfortable working cross-functionally between finance, operations, and data.

Technologies we use

Programming languages: SQL, LookML, Python
Analytics: Looker, Looker Studio and geospatial analytics tools
Development tools and frameworks: dbt, pandas, data-diff, Elementary (read more about our analytics platform here)
Data lake and warehouse: BigQuery, Iceberg + BigLake

How We Reward Our Team

Dynamic hybrid 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
25 days of holiday allowance plus public holidays
1 Birthday Day Off + 2 Tenure-Based Additional Days Off
Subsidised Private Medical Insurance including dental, vision & mental health therapy
Bi-annual performance reviews and tailored development plans
Competitive salary + EMI options scheme
Annual compensation review
Team lunch provided once a week
Quarterly team socials and annual sports day (HIVED Olympics)
Enhanced maternity/paternity/adoption policy as day 1 right
Community volunteer days
Cycle to work s

About the Company

HIVED is the first customer-centric, AI-powered, and all-electric parcel delivery company designed for ecommerce. With our purpose-built technology and commitment to an exceptional delivery experience, HIVED is setting a new delivery standard for retailers and consumers. We are one of the fastest growing startups in Europe and ship for the biggest retail brands, including Nespresso, H&M, Zara and John Lewis. As a B Corp certified business, HIVED is leading the industry by making great service and green delivery the standard,... Know more