Senior Data Analyst

Senior Data Analyst

Department: Data & Analytics

Employment Type: Full Time

Location: Cardiff

Hybrid - 2 days per week from our Cardiff HQ

is the UK’s first comparison platform for car insurance. We’ve been helping customers since 2002 by empowering them to make better decisions around insurance and financial services. Our mission is simple: take away the confusion when comparing financial products and services to help you save time and money.

We’re part of RVU, a group of online brands (including Uswitch, Tempcover and ) that empowers people to make confident decisions across a range of household services.

is at the cutting edge of the Fin Tech industry, so we’re always looking for extraordinary talent. If you love what you do, get in touch today!

The Panel Analytics team sits at the core of our Partnerships function. We’re a team of analytical specialists dedicated to driving continuous improvement in ’s market competitiveness and product offering. Through in-depth analysis, we uncover the key drivers of performance and deliver actionable insights that create measurable value for both  and our insurance partners.

We work closely with our Commercial and Product teams to provide high-quality analytical support, helping our partners make smarter, data-driven pricing decisions. Since 2012, we’ve been empowering our partners to make informed, performance-enhancing choices—and our success means we’re growing. We’re now looking for talented, curious minds to join us at this exciting stage of our journey.

We’re looking for a Senior Data Analyst to utilise their extensive knowledge and experience, to initiate and deliver a variety of analytical projects to drive positive change for  and its customers. As a Senior Analyst, you will inform effective data driven decision making, you will also guide and support your fellow Analysts, pushing boundaries and building on your knowledge to achieve positive outcomes.

This is an excellent opportunity for a Data Analyst or an existing Senior Data Analyst to take all their experience to the next level in their career.

• Creating compelling, actionable and high-value bespoke analysis through data mining, data visualisation techniques & storytelling
• Investigating all available sources of information to recommend changes to optimise our insurance panel across multiple products
• Provide analytical support to our insurance partners, including evaluating key aspects of our partner’s’ performance, such as conversion, ancillary take-up, and rate analysis
• Collaborating with colleagues from across the business to deliver key projects
• Providing advice and guidance to the team when needed
• Speaking at industry events

• Experience working with data, ideally in the Insurance or wider financial services sector
• Experience or understanding of insurance pricing methods and portfolio management would be advantageous
• Experience of statistical methodologies and data analysis techniques
• Experience using data visualisation tools (Tableau or Power
  
  BI)
• Good knowledge of SQL and Python / R
• Proven track record working with key stakeholders
• Strong presentation skills, including the ability to tell stories with data
• Excellent interpersonal and communication skills

You don’t need to tick off everything on this list - so don’t let that hold you back from applying. There are plenty of opportunities to learn with us!

Our commitment to you:
At  we believe that we can be the change we wish to see in the world. We hold ourselves accountable to being open and inclusive teammates and community members. We embrace our differences and are committed to creating an inclusive environment that reflects the world we live in.

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…