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Finance Data Analyst
2 weeks ago
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
Essencial:
- 5+ years' experience in BI, financial analysis, or data analytics.
- Bachelor's degree in Finance, Data Analytics, Business, or related discipline.
- Extensive experience working with Looker and Power BI.
- 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 scheme
- Dog friendly office and depots
- MacBook Air or Windows Laptop (depending on your preference)
Want to learn more?
- Meet the team in 60 seconds: Behind the scenes with HIVED
- HIVED is B Corporation certified
- We are named as UK StartUp of the Year 2024
- Read how HIVED raised $42M to transform parcel delivery with AI and all-electric logistics network
- Check the Impact Report 2024
- Keep up with HIVED here
