Senior Data Analyst (Hybrid, London, UK)
Senior Data Analyst (Hybrid, London, UK)

Senior Data Analyst (Hybrid, London, UK)

Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Parking Network BV

At a Glance

  • Tasks: Drive data-led decisions to enhance user engagement and retention in our marketplace.
  • Company: Join a fast-growing tech company transforming urban mobility.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact on how cities function and improve lives through data.
  • Qualifications: 3-5 years in analytics, strong SQL skills, and experience with marketing data.
  • Other info: Collaborative environment with a focus on innovation and community.

The predicted salary is between 50000 - 65000 £ per year.

We’ve signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities. Our people and our values help us make it happen. We Arrive Curious, Focused and Together. Our values guide us and help us be at our best for our customers, the cities and communities we serve, and ourselves. As a global team, we are transforming urban mobility.

YourParkingSpace joined forces with Arrive on our joint mission to make cities more livable. We're the UK’s fastest-growing parking technology provider. Our on-demand marketplace connects drivers to thousands of spaces, while our comprehensive suite of B2B solutions transforms parking assets into connected mobility hubs.

The Role: As a Senior Data Analyst focussing on Growth Analysis, you’ll play a key role in driving data-led decision-making across the B2C side of the marketplace. Reporting into the Growth Analytics Lead, you’ll focus on understanding how drivers are acquired, how they interact and engage with our product, and what drives retention and increases lifetime value. This is a hands-on, impact-focused analytics role. The successful candidate will work closely with Marketing, CRM, Product and Engineering to translate data into clear, actionable insights that improve acquisition efficiency, engagement and lifetime value.

You’ll own deep-dive analysis, lifecycle reporting and segmentation, while helping build scalable analytical assets that empower stakeholder self-service, proactive insight discovery and confident decision-making.

How you’ll make an impact:

  • Lead end-to-end growth analytics projects across the driver lifecycle — from problem definition through to insight delivery and clear, actionable next steps.
  • Evaluate channel performance and LTV:CAC dynamics to inform marketing investment and targeting decisions.
  • Conduct cohort, funnel and behavioural analysis to surface drivers of repeat usage, frequency and long-term engagement.
  • Build and maintain growth-focused datasets, dashboards and analytical frameworks that enable stakeholders to self-serve answers and reduce reactive, ad-hoc analysis.
  • Proactively explore data to inform strategy and guide investment decisions — not just respond to inbound requests.

Ideally you’ll have:

  • Experience working with marketing or acquisition data (paid channels, attribution concepts, campaign measurement).
  • Familiarity with CRM or lifecycle analytics (segmentation, engagement, repeat behaviour).
  • Exposure to experimentation or A/B testing analysis.
  • Experience applying data science techniques, such as predictive or propensity modelling, in a business context.

Your background:

  • 3–5+ years’ experience in an analytics role, ideally within growth, marketing, product or commercial analytics, in a high growth environment.
  • Strong SQL skills, with confidence working directly with large datasets in a modern data warehouse (Snowflake preferred).
  • Experience analysing funnels, cohorts, retention and user behaviour over time.
  • Hands-on experience building dashboards or recurring reporting in Tableau (or a similar BI tool).
  • Experience working with web or marketing analytics tools such as GA4 (or another web analytics platform).

This is a hybrid working role based in our Stratford, London (E20) office 3 days per week, 2 days from home.

Senior Data Analyst (Hybrid, London, UK) employer: Parking Network BV

At Arrive, we pride ourselves on being an exceptional employer, fostering a culture of curiosity, focus, and collaboration. Our hybrid working model in London allows for flexibility while you contribute to transforming urban mobility, with ample opportunities for professional growth and development. Join us to be part of a dynamic team that values your insights and empowers you to make a meaningful impact in creating more livable cities.
Parking Network BV

Contact Detail:

Parking Network BV Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst (Hybrid, London, UK)

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for interviews by researching the company and its values. Show them you’re not just another candidate; you’re someone who aligns with their mission of making cities more livable.

✨Tip Number 3

Practice your data storytelling skills. Be ready to explain your analysis in a way that’s engaging and easy to understand. Remember, it’s all about turning numbers into insights!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Senior Data Analyst (Hybrid, London, UK)

Growth Analytics
Data-led Decision Making
Cohort Analysis
Funnel Analysis
Behavioural Analysis
SQL
Data Science Techniques
Predictive Modelling
Propensity Modelling
Dashboard Building
Tableau
Web Analytics
GA4
Stakeholder Engagement
Analytical Frameworks

Some tips for your application 🫡

Show Your Curiosity: When writing your application, let your curiosity shine through! We love candidates who are eager to learn and explore new ideas. Share examples of how you've approached problems with a curious mindset in your previous roles.

Be Focused on Impact: Make sure to highlight your impact in past positions. We want to see how your analytical skills have driven growth or improved processes. Use specific metrics or outcomes to demonstrate your contributions and how they align with our mission.

Teamwork Makes the Dream Work: Since we value collaboration, mention any experiences where you worked closely with cross-functional teams. Show us how you’ve translated data into actionable insights that benefited not just your team, but the wider organisation too.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're keen to join our journey!

How to prepare for a job interview at Parking Network BV

✨Know Your Data Inside Out

As a Senior Data Analyst, you'll need to demonstrate your expertise in data analysis. Brush up on your SQL skills and be ready to discuss how you've used data to drive growth in previous roles. Prepare specific examples of projects where your insights led to actionable outcomes.

✨Understand the Business Context

Familiarise yourself with Arrive's mission and values. Show that you understand how data analytics can impact urban mobility and customer engagement. Think about how your role can contribute to making cities more livable and be prepared to discuss this during the interview.

✨Prepare for Technical Questions

Expect questions about your experience with marketing data, cohort analysis, and A/B testing. Be ready to explain your approach to evaluating channel performance and LTV:CAC dynamics. Practising these concepts will help you articulate your thought process clearly.

✨Show Your Collaborative Spirit

Since you'll be working closely with various teams like Marketing and Product, highlight your teamwork skills. Share examples of how you've collaborated with cross-functional teams to deliver insights and drive decision-making. This will show that you embody the 'Together' value that Arrive cherishes.

Senior Data Analyst (Hybrid, London, UK)
Parking Network BV

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