Product Analytics Manager
AI in this role
Who we are:
We're one of Europe's fastest-growing fintech companies – on a mission to create the world's most empowering way to pay.
We launched the product in 2020 and achieved double unicorn status, valued at $2 billion, and since then have taken on more than 6 million customers.
Our mission is to become the best way to pay for anything, anywhere and say goodbye to credit costs for everyone. This is huge. Want to join us?
About The Role.
You will lead a team of ~3-4 product analysts for our Customer Growth and Lifecycle domain, owning narrative and insights and driving sustainable customer customer growth. You will be a thought partner with a Director of Product and you will influence roadmap and product decisions, and also work cross-functionally day-to-day with Marketing, Risk, Finance and the rest of Data.
The scope runs from acquisition source and sign-up, through credit approval, activation, repeat usage, arrears behaviour, retention, and cohort profitability. You'll need to be as comfortable talking about loss rates and payback periods as you are about conversion funnels and retention curves, and tie everything we’re doing to commercial outcomes.
You will be a hands-on leader solving some of the most complex customer and business problems, while also managing a team of ~3-4 product analysts. You will be someone who thrives at using complex data and intuition to drive business outcomes, ensuring data is a core driver of company strategy.
What you’ll be doing day to day.
Own the analytics strategy for the Customer Lifecycle domain - from acquisition quality through activation, retention, and cohort profitability - translating the company-wide analytics vision into a focused plan for your team.
Operate horizontally across Lifecycle squads: your analysts are already embedded, so your job is to connect the dots, spot patterns across teams, and ensure the collective effort ladders up to domain commercial goals.
Know the key commercial drivers inside out - cohort payback, contribution margin, funnel economics, risk-adjusted value - so you can direct work with conviction and challenge outputs with authority.
Build experimentation capability within the domain pragmatically - establish clear hypotheses, decision criteria, and honest readouts as the norm for your teams.
Increase stakeholder self-sufficiency through dashboards and shared frameworks - freeing your analysts from reactive requests and shifting their time towards high-value proactive work.
Grow and focus your team - coach analysts, raise the technical bar, and create clarity on what good looks like for the domain.
Be the primary analytics partner for Lifecycle product leadership - earning trust by consistently surfacing what matters, not just what's been asked for.
Raise the standard of evidence in domain product decisions - moving from opinion-led to evidence-led, one decision at a time.
What We're Looking For.
Ability to thrive in a fast-paced, high-growth environment and embrace change as an opportunity.
6+ years in product analytics or insight-focussed roles (start-up or scale-up pace) and 2+ years leading a team of analysts.
Excellent communication skills, with the ability to influence senior stakeholders and present complex findings succinctly.
You're comfortable with credit risk concepts: loss rates, approval rates, unit economics. You don't need to be a risk modeller, but you can't be allergic to the topic.
Strong technical foundation in analytics with advanced SQL. You can model data, design experiments, and have a proper technical conversation if required
Comfortable operating at both strategic and tactical levels, able to “zoom in” on critical insights while maintaining a holistic view.
You've built experimentation programmes - not just run one-off tests, but established how a team thinks about evidence.
You're opinionated about what matters, but you update your views when the data says otherwise.
Bonus skills.
Experience in payments, regulated environments, or financial environments.
You've worked with Snowflake, dbt, Looker, or a similar modern stack.
Benefits.
Compensation & Savings:
Pension scheme.
Death in Service scheme.
Income Protection.
Permanent employees enjoy access to our Share Options Scheme.
5% back on in-app purchases.
£200 for WFH Setup.
Health & Wellbeing:
Private Medical Insurance including;
GP consultations (video, telephone or face-to-face).
Prescribed medication.
In-patient, day-patient and out-patient care.
Mental health support.
Optical, dental & audiological cover.
Physiotherapy.
Advanced cancer cover.
Menopause support.
Employee Assistance Programme including:
Unlimited mental health sessions.
24/7 remote GP & physiotherapy.
24/7 helpline for emotional & practical support.
Savings & discounts on everyday shopping.
1:1 personalised well-being consultations.
Gym membership discounts.
Family Friendly Policies:
Enhanced maternity pay.
Enhanced paternity pay.
Enhanced adoption pay.
Enhanced shared parental leave.
Learning & Development:
Professional Qualifications.
Professional Memberships.
Learning Suite for e-courses.
Internal Training Programmes.
FCA & Regulatory training.
Workplace Perks:
Hybrid working: office-based Monday, Wednesday, and Thursday; remote working Tuesday and Friday
Casual dress code.
Workplace socials.
Healthy snacks.
How we rate this
Product Analytics Manager at Zilch rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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