
Lead Data Analyst - Middle Mile & Sortation

Lead Data Analyst - Middle Mile & Sortation

Lead Data Analyst - Middle Mile & Sortation
Relay
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen
Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.
The Team
- ~110 people, more than half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
- An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation
- Identify and quantify the biggest cost-per-parcel reduction opportunities across our operations
- Build models that make operational trade-offs explicit: cost vs. reliability, speed vs. utilisation, capacity vs. flexibility
- Shape Middle Mile network design: where vehicles go, when they arrive, and how efficiently they're used
- Drive Sortation efficiency: workforce scheduling, throughput optimisation, and the balance between human and robotic capacity
- Line manage two Analysts: set goals, provide coaching and feedback, and support their development
- Act as a trusted advisor to the squads, shaping where analytical efforts are focused and what gets prioritised
- Represent the analytical perspective in leadership discussions, influencing decisions and driving focus
- You take full ownership of your domain and don't wait for someone to tell you what's important
- You're comfortable leading a small team while still doing significant hands-on analysis yourself
- You build models that quantify trade-offs and make complex operational decisions clearer
- You translate analytical results into recommendations that operations and leadership can act on
- You're fluent in SQL and experienced with BI tools, with strong problem-solving instincts
- You have at least 5 years of experience, ideally with some exposure to logistics
- You care about developing the people you lead, not just the work they produce
- You thrive in operational environments where the data is messy and the stakes are real
- Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success.
- Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it.
- 25 days of holidays
- Enhanced parental leave.
- Hardware of your choice.
- Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
- Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote.
- Aim with Precision: You define problems clearly and measure your impact meticulously.
- Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.
- 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience.
- All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.
- People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success.
- Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we.



