Senior Product Analyst (CRM, Marketing)

Senior Product Analyst (CRM, Marketing)

Department: Data & Analytics

Employment Type: Full Time

Location: London

Description

Hybrid: 2 days/week in London

At Uswitch, our goal is to be the UK's favourite way to choose and manage home-life essentials - from broadband and mobiles to energy and insurance. As we continue to grow and expand our services, we are looking for talented individuals who share our passion for making a positive impact on people's lives. If you want to be part of a team that is transforming the way consumers navigate their household services, we would love to hear from you!

We're part of RVU, a group of online brands that include: Confused, Tempcover, money.co.uk, and Mojo Mortgages.

The team

The analytics team strives to simplify some of the most complex and daunting consumer marketplaces, to improve the lives of our customers. We give millions of people the information required to save thousands of pounds per year by helping them make more informed decisions about their utility bills and finance products at the right time.

We answer questions like:

• How do we most effectively let customers know when they could be switching to a better deal?
• How can we deepen our understanding of our customers to improve their experience with our marketing?
• How do we identify and prioritise what currently matters most to each segment of our customer base?

About the role

As a Senior Product Analyst (Marketing & CRM), your input will be crucial in driving decision-making.

You will be the voice of our data, using it to influence and guide strategy, as well as identifying opportunities that may benefit the business.

You will own both the "what" and the "why" behind performance: not just reporting results, but identifying the drivers and recommending action.

This is a hands on senior analyst role focused on understanding customer behaviour and evaluating the impact of CRM activity across uSwitch.

Key Responsibilities

You'll join our Marketing Analytics team - a team looking to understand and optimise all marketing channels from the effectiveness of Above The Line/Brand to improving the efficiency of key conversion drivers such as Paid Search.

Our ambition? To build a best in class customer experience. And you'll play a leading role in helping us to achieve it by enabling us to understand our customers better, harnessing data and discovering insight across all our touch points, campaigns, and marketing activity.

Using tools and databases including Google sheets, BigQuery (SQL), Tableau, and Python you'll tackle intriguing and exciting problems that we're only just starting to understand, in order to:

• Own the analytical evaluation of CRM activity, including deciding how impact should be measured, what success looks like, and how confident we should be in conclusions
• Diagnose changes in customer and CRM performance, forming hypotheses, and narrowing down root causes under time pressure
• Design and conduct experiments (e.g. holdouts, A/B tests), with a clear understanding of causality, limitations, and risk
• Turn analysis into decisions, clearly articulating what the data does and does not support
• Work closely with CRM, marketing and analytics stakeholders, adjusting depth and rigour based on audience and context
• Improve how we measure and understand customers over time, not just reporting on what has already happened

What we're looking for

We're looking for someone comfortable making data informed decisions under ambiguity, prioritising impact over perfection, and evolving strategy based on customer response rather than waiting for complete certainty.

You'll ideally have experience in:

• Applying analytical judgement to real business problems, including choosing between different methods and understanding their trade offs
• Evaluating CRM or customer activity where causality is not always obvious
• Structuring ambiguous problems and narrowing them into clear analytical questions
• Explaining analytical reasoning clearly to both technical and non technical stakeholders
• Working hands on with data to support decisions, not just generate outputs
• Proficiency in SQL is essential; and experience using analytical and data BI tooling such as Tableau (Git, dbt - nice to haves).

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.

Benefits

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 programmeA 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.