Product Data Analyst

Pinpoint
London
1 month ago
Create job alert

Description

Hybrid: Wednesdays and Thursdays in-office

money.co.uk exists to help consumers make more informed financial decisions. Our free, online comparison service allows consumers to compare financial products, from credit cards to savings accounts, loans to travel money. We want our users to feel reassured that we're on their side when it comes to their finances.

We are also known as the Financial Services team for Uswitch, Confused and money.co.uk, and our goal is to be the UK’s favourite way to choose the best financial products for big life events - from Credit Cards to use on while travelling to Savings Accounts to help move you closer to a dream purchase. As we continue to grow and expand our services, we are looking for talented individuals who share our passion for making a positive impact on people's lives. If you want to be part of a team that is transforming the way consumers navigate their finances, we would love to hear from you.


About the role:

As a mid level Analyst at RVU, your input will be crucial in driving business impact and decision-making by bridging the gap between data and business strategy. You will be responsible for collaborating with cross-functional teams to develop and implement effective data strategy within your business area. As our 4th  member of the FS Analytics team, you will play a pivotal role in crafting ultimate experiences for money.co.uk, Uswitch and Confused.com users, enabling them to make better financial decisions

What you’ll be working on:
Using tools and databases including BigQuery, Tableau, DBT,  Python and Hightouch, you'll tackle important problems that we’re only just starting to understand. You will be:
  • Working closely with the Product teams delivering insights that are not only accessible but actionable, supporting strategic decision-making
  • Collaborating with cross functional project teams to understand business requirements and translate them into lower level data requirements
  • Working with the engineering team to build and refine dbt models to transform the data in a desired form suitable for analysis and reporting; as well as to strengthen data management and quality processes across data collection, cleaning, transformation and reporting
  • Supporting the development of data related procedures and guidelines to be at the forefront of best practice
  • Liaise with external partners to facilitate and execute third party data integrations
  • Creating interactive dashboards and reports to present analytical findings in a clear and concise manner to senior management
  • Translate complex data analyses into clear, compelling narratives for both technical and non-technical stakeholders, ensuring insights lead to informed decisions

Some of the questions/projects that you may be working on: 
  • Automate reporting, build scalable dashboards, and empower stakeholders with self-serve analytics tools
  • Design and implement data pipelines and dashboards to enable A/B testing at scale
  • What events are critical to track to understand performance of our landing pages?
  • How can we enable our marketing channels to effectively target the right audience?


What we’re looking for:

  • We are a small and fast moving team and you will need experience working to dynamic priorities, working with cross functional stakeholders to understand and define problems, scope out end-to-end solutions and manage delivery to completion
  • Excellent SQL skills; particularly in reference to Google BigQuery with experience in using analytical and data tooling such as Google Sheets, Python, Tableau, Git, dbt etc.
  • Experience working with raw data, setting up data tracking from scratch for new and existing products
  • Experience working with customer engagement data and marketing funnel data is a plus
  • Excellent attention to detail, focus on delivering work to a high standard, and ability to work efficiently to project deadlines
  • Pragmatism; understanding of when analysis is good enough to finish
  • Statistically literate, competent with some statistical testing or modelling techniques

Here’s a flavour of what our analysts have been up to this week:
  • Migrated events tracking from Google Analytics to in-house events tracking system
  • Setup tracking to report key metrics for a new user journey launched, aimed at understanding our customer profiles better
  • Integrated partner funnel data to get a full funnel conversion view of our customer base
  • Launched a more sophisticated channel attribution model enabling the marketing teams to have a better understanding of quality of traffic they drive

Our commitment to you:
At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.


What we offer:

We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:
  • 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
  • A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”
  • Employer matching pension contributions up to 7.5%
  • A one-off £300  “Work from Home” budget to help contribute towards a great work environment at home
  • Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life
  • 25 days holiday (increasing to 30 days) + 2 days “My Time” per year
  • Private medical cover, critical illness cover,  dental plans  and employee assistance programme
  • Employee discounts programme
  • A healthy learning and training budget 
  • Electric vehicle and cycle to work schemes
  • Free in-office gym, accessible 7 days a week
  • Free breakfast in the office daily
  • You’ll be equipped with great technology (choice of Mac or Windows)
  • Free access to the Calm and Peppy app for physical and mental health
  • Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected

As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.
At RVU we combine the close-knit and agile environment of a startup, with the know-how, technology and backing of a well-established company.

Our mission is to empower people to make confident decisions. With our unique set of brands, includingUswitch,Confused.com,money.co.uk, Tempcover and Mojo Mortgages, we have the power to reach millions of consumers and the technology to deliver a world class online experience for them.

Our culture
Our culture is driven by innovation, collaboration, and a relentless focus on creating real value for our customers. With an experimentation mindset, we challenge the status quo, push boundaries, and embrace continuous learning to stay ahead. Our diverse teams are made up of brilliant people who uplift each other and work together to tackle complex problems. We work with a balance of rigour and urgency so we can learn fast and adapt to change quickly. We are a company where growth knows no limits, and where every person is empowered to make an extraordinary impact. Check out our Life At RVU page to get a further glimpse into our culture. 

*We use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.

Related Jobs

View all jobs

Product Data Analyst

Product Data Analyst

Data Analyst

Data Admin Specialist / Data Analyst

Lead Data Analyst (City Of London)

Senior Data Analyst, International

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.