Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Analyst - Web/App analytics

RVU
Cardiff
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst - Finance & Treasury

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst - D2C eCom Consultancy

Description

Location: Cardiff, 2 days/week in-office

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:
We are looking for a Lead Analyst to join our Acquisition & Retention guild. Working closely with senior leaders, you will bring your experience in web and/or app analytics, tagging and A/B testing, to support in developing and building out our strategy.

As a Lead Analyst, you will be instrumental in the delivery of web/app analytics projects. Collaborating with a team of analytics and data science specialists you will develop innovative solutions that produce actionable insights. You will digest and investigate complex and exciting ideas and will lean into uncertainty, take risks, and learn quickly from mistakes. 

You’ll be using tools and databases including Google Analytics, SQL (BigQuery, Databricks), Looker Studio and Tableau to tackle some of the most exciting and evolving challenges across our business.


What you’ll be doing:

  • Collaborating with teams including Marketing, Product, UX/Design, and Developers to plan A/B tests, define requirements, and document hypotheses, variations, and problem statements to be tested
  • Creating and maintaining a clear prioritised backlog, and owning and shaping analytics roadmaps, which will improve the maturity of the company
  • Supporting the tagging processes and implementation, using Google Tag Manager for analytics, marketing, and attribution teams
  • Collaborating with, and influencing, product teams to make more informed data-guided decisions
  • Identifying commercial opportunities, making recommendations to improve customer experience, loyalty and profitability from site/app usage data
  • Working with data scientists, identify and quantify the key drivers from new and established models that can be tracked, investigated and actioned 
  • Managing data from its raw format to an output of a comprehensive dashboard, creating compelling, actionable and high-value bespoke analysis that allow for data storytelling and decision making
  • Communicating with- and presenting to colleagues across marketing, commercial, finance and product


What we’re looking for:

  • A background in app and/or web analytics with an understanding of at least one marketing channel (e.g. PPC, Display, SEO or Email)
  • Experience setting up A/B and MVT experiments, be able to develop and test hypotheses (Optimizely preferred)
  • Experience of statistical methodologies and data analysis techniques
  • Experience with GA4 and Google Tag Manager (working knowledge of HTML and Javascript preferred)
  • Advanced Knowledge of SQL with working knowledge of Google BigQuery and/or Databricks, and data visualisation in Tableau/Looker Studio or similar tools
  • Self motivated, have a passion for differentiation and disruption and be able to bring thought leadership and innovation to our organisation to effect top and bottom-line improvement.
  • Strong business acumen and communication skills; be able to articulate large amounts of information that are complex in nature to both technical and non-technical stakeholders at all levels
  • Ability to lead analytical projects, driving progress, prioritising workload, overcoming obstacles and taking accountability for outcomes. 
  • Ability to lead development of strategies and roadmaps to support business objectives, identifying opportunities, making use of available technology and identifying future opportunities

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 Confused.com 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.


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 30 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
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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.