Senior Data Analyst

Raft
London
1 year ago
Applications closed

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Senior Data Analyst

Senior Data Analyst - HOTH, Permanent

Raft is the intelligent logistics platform that’s rewriting the technology playbook for freight forwarders and customs brokers in the automation era. A dynamic UK-based technology company that’s fundamentally reshaping international logistics, we’re searching for a Data Analyst who is excited by the prospect of working in a rapidly growing scale-up. We have significant runway thanks to funding from leading US investor Bessemer Venture Partners (LinkedIn, Twilio, Shopify), alongside Episode 1 (Zoopla, Betfair, Shazam) and supply chain-focused fund Dynamo Ventures (Sennder, Stord).

We are looking for a data analyst to help us make better business decisions using information from our available data. Your task is to gather and prepare data from multiple sources, run statistical analyses, and communicate your findings in a clear and objective way.

Day to Day you will engage in:

  • Developing data models,pipelines and visual dashboard interfaces to provide insights at scale, solving for both Raft and our customers
  • Conduct deep analysis and provide insights to support the growth and expansion of our business
  • Collaborating with teams across Raft to solve critical business problems in a data driven methodology
  • Ability to define and create metrics for the businesses performance and drive insights for customers at scale 

Requirements

We specifically want someone who is/has:

  • 5+ years of relevant work experience, ideally in a fast-paced tech environment 
  • SQL expert and Python proficiency 
  • Expert in data analysis and communication, conducting exploratory data analysis, and crafting data-driven reports and visualizations
  • Ideally a mathematics, engineering or another highly quantitative degree from a globally recognized university

Apply because you want to...

  • Have the opportunity to work in a global market and compete with best in class companies who are on the front line of Machine Learning and Engineering developments
  • Work in a modern Product-led company where your contributions are valued and have real-world impact
  • Get exposure to working with stakeholders on a global level across different industries
  • Work in a tech, fast-paced and challenging environment that provides opportunities for professional and personal growth
  • Work in a diverse and multicultural environment

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