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Data Analyst

Company mission

In the future, almost everything we consume will simply materialise on our doorsteps – what we call “e-commerce” today will simply be “commerce” tomorrow. But if we continue on today’s trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom-line for small businesses.

Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability. By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members.

At the same time, we’re fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them. That’s why whenever you buy from a merchant powered by Relay, you’ll be able to reschedule your delivery at any time. And if you don’t like what you ordered, at the tap of a button we’ll send someone to pick it up.

To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. 

About the role

As a highly operational business, we rely on data to guide everything we do. We are a small but impactful data team that works on everything from operations research to optimise thousands of parcel deliveries daily, to detailed business metrics that drive our expansion and investment decisions — and everything in between.

We’re currently hiring two Data Analysts, each focused on a high-impact part of the network: one will work on Routing, and one will help optimise First Mile and Sortation. These roles are an opportunity to apply your analytical skills directly to the design and performance of critical logistics infrastructure as we scale.

You’ll work closely with squads across routing, sortation, first mile, middle mile, last mile, marketplace, and our commercial functions, and collaborate with operations, product, and engineering to identify problems, shape hypotheses, and deliver insight.

You’ll be an embedded contributor within key cross-functional squads, with strong exposure to real-world operations and the opportunity to drive meaningful change through data.

What you'll do

  • Define key performance indicators and build dashboards that make operational performance transparent and actionable

  • Support analysis of operational performance and help identify levers for improvement

  • Translate business problems into analytical questions – and analytical results into clear, actionable recommendations

  • Collaborate with data scientists, engineers, and operators to build data tools and surface performance insights

  • Contribute to scoped data projects from definition to delivery, with support from an experienced team of data professionals

  • Spend time in the operation (e.g. at our sortation warehouse or hubs) to understand how the network works on the ground

What we're looking for

  • 3+ years of experience as a data analyst or in a similar role

  • Strong SQL skills and experience with BI/data visualisation tools

  • Well-developed analytical and problem-solving skills, with a proven ability to derive insight from complex data

  • Effective communication skills – you can clearly explain analytical findings to both technical and non-technical audiences

  • A commercial mindset – you care about impact, not just insight

Nice to haves

  • Experience working with geographic or operational data

  • Experience in operationally intensive, fast-scaling businesses

  • Familiarity with Tableau

  • Basic Python (or similar) for data analysis and manipulation

We're flexible on background — if you’ve got core analytical skills and a track record of driving impact, we’d love to hear from you.

What we offer

  • 25 days annual leave per year (plus bank holidays).

  • Equity package.

  • Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more.

  • Contributory pension scheme.

  • Hybrid working

  • Free membership of the gym in our co-working space in London.

  • Cycle-to-work scheme

  • A culture of learning and growth, where you're encouraged to take ownership from day one.

  • Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst, Relay Technologies

Are you ready to take on the role of Data Analyst at Relay in London? As a part of our dynamic team, you will play a crucial role in revolutionizing e-commerce logistics. Here at Relay, we’re on a mission to redefine delivery through sustainability, pushing the boundaries to ensure a better future for consumers and communities alike. In this position, you’ll collaborate closely with various departments, including operations, product, and engineering, using your analytical skills to support critical logistics infrastructure. Whether you’re working on optimizing parcel delivery routing or enhancing first mile operations, your insights will have a direct impact on our growth and efficiency. Your day-to-day tasks will include defining key performance indicators, building actionable dashboards, and helping identify opportunities for operational improvements. You’ll even have the chance to spend time in our sortation warehouse to see firsthand how our network operates. If you have 3+ years of experience as a data analyst, robust SQL skills, and a knack for solving complex problems, this could be the perfect fit for you. Join Relay, where you won’t just analyze data; you’ll lead the charge in shaping the future of commerce while enjoying a flexible, growth-oriented culture. Let’s make an impact together!

Frequently Asked Questions (FAQs) for Data Analyst Role at Relay Technologies
What are the responsibilities of a Data Analyst at Relay?

As a Data Analyst at Relay, your primary responsibilities will include defining key performance indicators, building dashboards, supporting operational performance analysis, and translating business problems into analytical questions. You will also collaborate with data scientists and engineers to build data tools while offering actionable insights that drive meaningful operational improvements.

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What qualifications are required for the Data Analyst position at Relay?

To qualify for the Data Analyst role at Relay, candidates should have at least 3 years of experience in a similar position, strong SQL skills, and a solid foundation in business intelligence and data visualization tools. Additionally, effective communication skills are essential for sharing analytical findings with diverse audiences.

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How does Relay promote sustainability in its logistics operations?

Relay promotes sustainability by rethinking the e-commerce logistics framework to minimize carbon emissions through optimized routing and reduced delivery miles. As a Data Analyst, you will contribute directly to these initiatives, ensuring that data-driven decisions align with Relay’s mission of environmental, social, and economic sustainability.

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What kind of projects will a Data Analyst at Relay work on?

A Data Analyst at Relay will work on various impactful projects, including optimizing parcel delivery processes, analyzing operational performance metrics, and identifying improvement opportunities. You will collaborate with cross-functional teams to translate insights into actionable strategies that enhance our logistics network.

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What additional skills are advantageous for a Data Analyst at Relay?

In addition to core analytical skills, familiarity with Tableau, experience working with geographic or operational data, and basic Python skills for data analysis are considered advantageous for the Data Analyst role at Relay. These skills will help enhance your effectiveness in driving impactful insights.

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Common Interview Questions for Data Analyst
Can you describe your experience with SQL as it relates to your role as a Data Analyst?

When answering this question, be sure to highlight specific projects where you utilized SQL to extract, manipulate, or analyze data. Discuss any complex queries you’ve written and how they contributed to actionable insights.

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How do you prioritize multiple data projects with tight deadlines?

It's important to discuss your organizational skills and describe your approach to prioritization. You might mention using project management tools, setting clear deadlines, and communicating with stakeholders to ensure efficient workflow.

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What methodologies do you use for analyzing operational data?

Share the methodologies you follow, such as using statistical analysis, data visualization techniques, or specific frameworks learned from previous roles. Emphasize how these methodologies lead to meaningful conclusions.

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How do you ensure data quality and integrity in your analyses?

Discuss your methods for data validation and cleansing, systematic checks, and the importance of documentation in preserving data quality. Describe experiences where you've fixed data integrity issues.

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Can you give an example of how you turned data insights into actionable recommendations?

Provide a specific example where your analysis led to concrete changes or improvements in processes. Highlight the impact of your recommendations on the business or operational effectiveness.

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What is your experience collaborating with cross-functional teams?

Talk about your past experiences working with teams outside of data, such as operations or product management. Highlight how effective collaboration enhanced project outcomes and fostered a data-driven culture.

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Describe a time when you faced a major analytical challenge and how you overcame it.

Share a particular challenge that required deep problem-solving skills. Discuss the steps you took to tackle the issue, any innovative approaches you implemented, and the final outcome.

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How do you communicate complex data findings to non-technical stakeholders?

Discuss your approach to translating technical jargon into easily understandable language for diverse audiences. Mention any tools or techniques you use, such as visualizations or simplified reports.

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What tools do you commonly use for data visualization and dashboards?

Mention specific tools like Tableau, Power BI, or others that you have experience with. Explain how you use these tools to present data in a way that is accessible to different audiences.

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What interests you most about the Data Analyst position at Relay?

Reflect on your passion for data analytics and how it aligns with Relay’s mission to revolutionize logistics. Discuss specific aspects of the role that excite you, such as the focus on sustainability and the opportunity to drive impactful changes.

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MATCH
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FUNDING
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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
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HQ LOCATION
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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 25, 2025

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