At a Glance
- Tasks: Track and improve forecasting models to optimise logistics operations.
- Company: Join Relay, a fast-growing logistics startup backed by major investors.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Dynamic team environment focused on innovation and collaboration.
- Why this job: Make a real impact on e-commerce by ensuring accurate delivery forecasts.
- Qualifications: 5+ years as a data analyst, fluent in SQL, and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. Relay’s mission is to free commerce from friction, envisioning 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
The Opportunity
Relay's network runs on forecasts. As Lead Data Analyst for the Network squad, you will own the analytical oversight across Relay's forecasting systems. This includes tracking model performance across demand forecasting, shift planning, dimensions, and BPP inclusion. You will work closely with Sortation, Middle Mile, Last Mile, Routing, and Finance to understand where forecasts are working and where they're not.
What You'll Do
- Track forecast accuracy across all Network models: demand forecasts, shift planning forecasts, dimensions model, BPP inclusion models
- Surface model drift and performance issues before they impact operations
- Diagnose forecast errors by client, geography, day of week, and horizon, and quantify the CPP impact
- Build dashboards that make model performance transparent to the squad and stakeholders
- Set analytical direction for the Network squad: define what metrics matter, where to invest analytical effort
- Work with Data Scientists to build the business case for model improvements
- Monitor how capacity matches demand across Sortation, Middle Mile, Last Mile, and track shift release effectiveness
- Translate model performance into business impact that stakeholders can act on
Who Will Thrive in This Role?
- You catch problems before they become crises
- You’re obsessive about data quality and forecast accuracy
- You’re fluent in SQL and experienced with dbt/BigQuery
- You’ve built dashboards that are operationally critical
- You have a passion for forecasting and predictive modelling
- You translate technical performance into business impact
- You’re comfortable challenging Data Scientists when models aren't performing
- You communicate clearly with operations teams
- You have at least 5 years of experience as a data analyst or similar role
- You care about impact more than insight
Who Thrives at Relay?
- 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.
- All In, All the Time: 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 and build trust through high standards and shared success.
- Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers.
Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Lead Data Analyst - Network in London employer: relaytech.co
Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration. With a focus on employee growth, team members are encouraged to take ownership of their roles and contribute to meaningful projects that reshape the logistics industry. Located in a dynamic environment, Relay provides unique opportunities for professional development and fosters a diverse and inclusive workplace where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst - Network in London
✨Tip Number 1
Network, network, network! Reach out to people in the industry, especially those at Relay. Use LinkedIn to connect and engage with current employees. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by understanding Relay's mission and values. Be ready to discuss how your skills align with their goals. Show them you’re not just another candidate; you’re someone who genuinely cares about making commerce frictionless.
✨Tip Number 3
Practice your problem-solving skills! Relay is all about catching issues before they escalate. Be prepared to tackle case studies or hypothetical scenarios during interviews that showcase your analytical thinking and ability to act quickly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and are familiar with the process.
We think you need these skills to ace Lead Data Analyst - Network in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Analyst role. Highlight your experience with forecasting, data quality, and any relevant tools like SQL or BigQuery. We want to see how your skills align with our mission at Relay!
Showcase Your Impact:When detailing your past experiences, focus on the impact you made rather than just the tasks you completed. Use metrics to demonstrate how your work improved forecast accuracy or reduced costs. We love seeing how you’ve driven better decisions in previous roles!
Be Clear and Concise:Keep your application straightforward and to the point. Avoid jargon and make it easy for us to understand your achievements and qualifications. Remember, clarity is key when communicating complex data insights!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Relay!
How to prepare for a job interview at relaytech.co
✨Know Your Forecasts
Before the interview, brush up on your understanding of forecasting models and their importance in operations. Be ready to discuss how you would track forecast accuracy and surface model drift, as this is crucial for the Lead Data Analyst role.
✨Showcase Your SQL Skills
Since fluency in SQL is a must-have, prepare to demonstrate your skills. You might be asked to solve a problem or analyse a dataset on the spot, so practice writing queries and working with dbt/BigQuery to ensure you're confident during the interview.
✨Prepare Real-World Examples
Think of specific instances where you've diagnosed forecast errors or improved model performance. Be ready to explain the impact of your actions on business outcomes, as Relay values candidates who can translate technical performance into tangible results.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You'll need to communicate effectively with various teams, so being able to break down jargon and present your findings clearly will set you apart from other candidates.
