Data Analyst
Posted
Summary
A junior-friendly Data Analyst joins Confused.com's Panel Analytics team (part of RVU) in Cardiff on a hybrid basis, turning complex data into insights on insurance partner panel performance and pricing using SQL, Python, statistical models, and AI tools like Claude.
Hybrid: 2 days per week in our Cardiff office
Confused.com
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.
We’re part of RVU, a group of online brands that include: Uswitch, money.co.uk, and Mojo Mortgages.
We are at the cutting edge of the FinTech industry, so we’re always looking for extraordinary talent. If you love what you do, get in touch today!
About the team
The Panel Analytics team sits at the core of our Partnerships function. We are a team of analytic specialists dedicated to driving continuous improvement in Confused.com's market competitiveness and pricing strategies.
We work closely with our Commercial and Strategic leadership teams to provide high-quality analytical support, driving smarter data-driven decisions. We're now looking for a talented, curious mind to join us at this exciting stage of our journey.
About the role
We're looking for an Analyst to support high-quality analysis across Confused.com. You'll turn complex data into clear insights, and you'll work in a team that uses AI tools like Claude day-to-day to support analysis and reporting, so you'll pick up modern analytics workflows from day one.
This is a great opportunity to build your analytical and storytelling skills in a fast-paced, data-rich environment, with support from senior analysts as you grow.
Confused.com
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.
We’re part of RVU, a group of online brands that include: Uswitch, money.co.uk, and Mojo Mortgages.
We are at the cutting edge of the FinTech industry, so we’re always looking for extraordinary talent. If you love what you do, get in touch today!
About the team
The Panel Analytics team sits at the core of our Partnerships function. We are a team of analytic specialists dedicated to driving continuous improvement in Confused.com's market competitiveness and pricing strategies.
We work closely with our Commercial and Strategic leadership teams to provide high-quality analytical support, driving smarter data-driven decisions. We're now looking for a talented, curious mind to join us at this exciting stage of our journey.
About the role
We're looking for an Analyst to support high-quality analysis across Confused.com. You'll turn complex data into clear insights, and you'll work in a team that uses AI tools like Claude day-to-day to support analysis and reporting, so you'll pick up modern analytics workflows from day one.
This is a great opportunity to build your analytical and storytelling skills in a fast-paced, data-rich environment, with support from senior analysts as you grow.
- Producing clear analysis using SQL and Python, with support from senior team members on approach and structure
- Investigating performance trends to help identify opportunities to improve our panel of insurance partners
- Using advanced statistical models to evaluate the impact of strategic initiatives on pricing and panel performance
- Working with Commercial and Product teams to help deliver insights that shape pricing and product decisions
- Using AI tools (we work extensively with Claude) to enhance delivery, always checking outputs and applying your own judgement
- Sharing knowledge and ideas with your team, and building good habits in analytical best practice.
- Some experience working with data, whether through study, a placement, or a previous role - insurance, financial services
- A foundation in SQL and Python, and interest in developing skills with data visualisation tools
- Curiosity about analytical or statistical techniques and a willingness to learn them on the job
- Good communication skills, with an interest in translating data into a clear story
- Comfort using AI tools as part of your workflow, and a habit of checking their outputs rather than taking them at face value
- A collaborative mindset and eagerness to learn from others.
You don’t need to tick off everything on this list - so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us!
Our commitment to you
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.
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
- Free gym access
- Employee discounts programme
- A healthy learning and training budget to support your development
- Electric vehicle and cycle to work schemes
- Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.