Lead Analyst - Web/App analytics

RVU
Cardiff
4 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Insight Analyst

PIM Data Analyst

Data Lead

Lead Operator and Data Analyst Assistant

Lead Reporting and Data Analyst

Data Analyst

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.

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.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.