Freight forwarding is a $200B+ industry you might not know about, but it’s the backbone of the global economy, ensuring goods move seamlessly around the world. Freight forwarders—like DHL, FedEx, and UPS—act as “travel agents” for goods, managing the complex operations that keep supply chains running.
Surprisingly, this critical industry remains largely untouched by modern software, with many processes still managed manually or through outdated systems. The eco-system is so fragile that one missed email can disrupt an entire shipment, leading to delays, poor service, and financial losses.
At Raft, we’re building an AI platform to automate freight operations. From auditing invoices and preparing customs filings to syncing information across systems, we empower operators to work more efficiently and accurately. The impact? Faster service, fewer errors, and more time for businesses to focus on growth and customer service.
We’re fortunate to have the support of top investors who are just as passionate as we do about transforming the industry, including Eight Roads (Alibaba, Spendesk, Toast), Bessemer Venture Partners (LinkedIn, Twilio, Shopify), Episode 1 (Zoopla, Betfair, Shazam), and Dynamo Ventures (Sennder, Stord, Gatik).
As a Data Analyst, you'll be at the very heart of our mission to revolutionise Freight Forwarding. We're seeking a strategic thinker who goes beyond data preparation and statistical analysis; you'll be instrumental in unlocking the true potential of our information to drive smarter business decisions. Your ability to understand the intricate context of our operations and pinpoint data-centric issues across our full tech stack will be critical. This role places you at the forefront of developing powerful analytical solutions that directly feed into and enhance our groundbreaking automation software. Imagine the impact: your insights will literally redefine how organisations function. If you're excited by the prospect of wielding an AI scale-up's advanced tech stack to solve complex problems and drive tangible, transformative change, we want to hear from you.
Day to Day you will:
- Engineer and automate data pipelines and reports to deliver actionable insights at scale for both Raft and our customers.
- Translate complex business challenges into data-driven solutions, collaborating with teams across the organisation.
- Define, develop, and maintain critical KPIs and reporting tools using platforms like Looker and BitQuery, directly impacting decision-making.
- Shape our data stack, leveraging best-in-class tools and building scalable data models in dbt (data build tool).
- Partner with data engineers and product managers to create robust data products and ensure accurate event tracking.
- Cultivate a strong data culture through meticulous documentation, knowledge sharing, and promoting data excellence.
We specifically want someone who is/has:
This role is for an inquisitive problem-solver who isn't afraid to peel back the layers and truly understand the core business challenges. You're driven by the desire to grasp the wider context of an issue and find innovative, data-driven solutions that make a tangible impact.
- You possess proven experience in a SaaS company.
- You're an advanced SQL user with practical experience using dbt to build and manage data pipelines. Python skills would be highly beneficial.
- You excel at unearthing insights through data analysis and communicating your findings with crystal clarity through impactful reports and visualizations.
- Ideally, you'll hold a highly quantitative degree (Mathematics, Engineering, or equivalent) from a globally recognized institution.
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
