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- Tasks: Lead analytics initiatives to enhance user experience and drive business decisions.
- Company: Join Confused.com, a pioneering insurance comparison site under RVU, empowering consumers since 2002.
- Benefits: Enjoy hybrid work, generous holiday, bonuses, and a supportive learning environment.
- Why this job: Be part of a dynamic team shaping the future of FinTech and improving lives across the UK.
- Qualifications: Experience in digital analytics, strong SQL skills, and ability to manage multiple projects.
- Other info: Embrace diversity and inclusivity while working with cutting-edge tools like Databricks and Python.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Lead Product Analyst
Department: Data & Analytics
Employment Type: Full Time
Location: Cardiff
Description
Hybrid: 2 days per week in-office
*Depending on experience, the internal title could also be Staff Product Analyst
In 2002, we became the first insurance comparison site. Our purpose? To make the process of sorting your insurance, utilities or personal finances as easy as possible.
We’re part of RVU. A group of online brands that include Uswitch, Tempcover and money.co.uk. As a group, we use our shared knowledge to empower people, and help them make decisions confidently across a range of household services.
Confused.com is 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 role:
As a Lead/Staff Analyst at Confused.com, you will be crucial in driving business impact and decision-making by bridging the gap between data and insight. In this role, we are looking for an analytical thought leader who will identify opportunities for deep analytics on customer behaviour and site performance by working closely with a variety of teams and stakeholders from across the business.
As a member of the comparison analytics team, you will partner with the product teams who look after our key comparison journeys and play a pivotal role in crafting the ultimate user experience for Confused.com customers. Join us on our mission to allow anyone in the UK to confidently and effortlessly find insurance plans which suit their needs, empowering consumers to make confident decisions.
We strive to simplify some of the most complex and daunting consumer marketplaces, to genuinely improve the lives of our users.
We answer questions like:
- Where are the key drop-off points in our quote journey, and what are the most effective ways to improve conversion’
- How can we use what we know about our customers to tailor and personalise their experience?
- What impact does this have on conversion?
- What incentives drive and influence transacting and acquisition on our funnels and channels?
What you\’ll be doing:
You’ll be using tools and databases including Databricks, Tableau, DBT and Python, to tackle important problems that we’re only just starting to understand, in order to:
- Develop robust product analytics for our insurance products, including event tracking strategy, platform insights, and user behaviour analysis
- Manage data from its raw format to an output of comprehensive dashboards, creating compelling, actionable and high-value bespoke analysis that allow for data storytelling and decision making
- Collaborate with, and influence peers across product, engineering, design, and the wider business to make data-driven decisions guided through split tests
- Design and evaluate A/B tests to enhance customer experience and conversion
- Explore data for new insights and recommendations to improving consumer journeys across our businesses
- Lead company wide analytics initiatives to advance our analytical capabilities and keep us one step ahead of the business and industry requirements
What we\’re looking for:
- Experience in digital/web analytics, A/B testing and optimising digital products.
- Track record of driving business decisions and impact.
- Strong SQL skills; particularly in reference to Databricks with experience in using analytical and data tooling such as Python, Tableau, Git, dbt etc.
- Understanding of data engineering concepts and practices, with the ability to work with engineering to translate business requirements and ensure the data is structured appropriately for the required analytics
- Experience with data modelling, ETL process and/or data pipeline creation
- Comfortable managing multiple projects and stakeholders with competing deadlines and priorities, ensuring the highest value work gets prioritised and accomplished in a proactive and timely manner and ability to communicate complex results in a clear, accessible way
- Ambassador for data, demonstrated ability to work with multi disciplinary teams and advocate for data driven decisions
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
- 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
*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.
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Lead Product Analyst employer: RVU Co UK
Contact Detail:
RVU Co UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Analyst
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Databricks, Tableau, and Python. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Understand the key metrics that drive conversion in digital products. Be prepared to discuss how you've used data to influence decisions in previous roles, as this will demonstrate your ability to impact business outcomes.
✨Tip Number 3
Network with current employees or alumni from your university who work in similar roles. They can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to showcase your experience with A/B testing and data storytelling. Think of specific examples where your analysis led to actionable insights, as this aligns perfectly with what the role requires.
We think you need these skills to ace Lead Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in digital/web analytics, A/B testing, and any tools mentioned in the job description like SQL, Databricks, and Tableau. Use specific examples to demonstrate your impact on business decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills align with the role. Mention your experience in collaborating with cross-functional teams and your ability to communicate complex results clearly.
Showcase Your Analytical Skills: Provide examples of past projects where you developed product analytics or managed data pipelines. Highlight your experience with data storytelling and how it has influenced business outcomes.
Prepare for Potential Questions: Think about how you would answer questions related to improving customer journeys and conversion rates. Be ready to discuss specific methodologies you've used in A/B testing and how you've collaborated with different teams to achieve results.
How to prepare for a job interview at RVU Co UK
✨Showcase Your Analytical Skills
As a Lead Product Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've used data to drive business decisions. Highlight your experience with tools like SQL, Python, and Tableau, and be ready to explain how you’ve applied these in real-world scenarios.
✨Understand the Company’s Mission
Familiarise yourself with Confused.com’s mission to simplify consumer marketplaces. During the interview, express how your values align with theirs and how you can contribute to their goal of empowering consumers. This shows that you’re not just looking for a job, but are genuinely interested in their work.
✨Prepare for Technical Questions
Expect technical questions related to digital/web analytics and A/B testing. Brush up on your knowledge of data modelling and ETL processes, as well as your ability to communicate complex results clearly. Practising these concepts will help you feel more confident during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, be ready to discuss your experience collaborating with product, engineering, and design teams. Share examples of how you’ve influenced data-driven decisions in a multidisciplinary environment, showcasing your ability to advocate for analytics effectively.
