Data analyst for last mile in London

Data analyst for last mile in London

London Full-Time 45000 - 55000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse data to optimise logistics and improve courier performance.
  • Company: Fast-growing logistics startup backed by significant investment.
  • Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
  • Other info: Dynamic office in Shoreditch with a mix of on-site and remote work.
  • Why this job: Join a talented team and make a real impact in the logistics industry.
  • Qualifications: Strong analytical skills, fluent in SQL, and experience in operational analytics.

The predicted salary is between 45000 - 55000 £ per year.

Описание

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, and a recently closed Series B ($95M), Relay is scaling faster than 99% 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.

Задачи

Your job is to make those trade-offs visible, model them, and find the levers that move the network in the right direction.

You'll run the experiments, design the measurement, and quantify what actually works.

The job now is to ensure it drives fleet quality - defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves.

You'll partner with product, ops and engineering across this work, with the analytics owned by you.

You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay.

Требования

You're a strong analyst who thinks in systems.

You break complex problems into components and know where the real opportunity lies.

You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it.

You care about solving the problem more than which techniques you use.

You love working with smart, motivated people.

You're fluent in SQL.

You're comfortable across the analytical spectrum - designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week.

You communicate inclusively with non-technical team members.

You love seeing the impact of your work play out in a daily operation. Будет плюсом: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain.

Условия

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.

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.

Hardware of your choice.

Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).

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Data analyst for last mile in London employer: Relay Technologies

Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration in the heart of Shoreditch. With generous equity options, comprehensive health benefits, and a commitment to employee growth through hands-on experience and mentorship, Relay empowers its team to tackle complex challenges in logistics while enjoying extensive perks and a supportive environment. Join us to be part of a mission-driven company that values your contributions and fosters a sense of ownership and community.

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Contact Details:

Relay Technologies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data analyst for last mile in London

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We think you need these skills to ace Data analyst for last mile in London

Analytical Skills
SQL
Experiment Design
Descriptive Analysis
Risk Scoring
Segmentation
Performance Management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Relay Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Relay Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Relay Technologies

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.