Job description
This is a ‘Level 3 or 4’ position. Cleo has 5 internal levels of competency within Product Analytics. See our skills framework for how we differentiate on seniority.
About Cleo
At Cleo, we’re not just building another fintech app. We’re embarking on a mission to fundamentally change humanity’s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That’s the future we’re creating.
Cleo is a rare success story: a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. This isn’t just a job; it’s a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.
If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.
Follow us on LinkedIn to keep up to date with new product features and insights from the team.
What you’ll be doing
As a Product Analyst in our Growth pillar, you’ll enable your team to make better decisions, faster. Working as part of a cross-functional squad alongside Product Managers, Designers, and Engineers, you’ll apply your expertise to drive the future of what we build at Cleo. You will leverage rich user data and sophisticated analytical techniques to see your insights move key metrics like conversion, ARPU & LTV.
You’ll also sit within the wider data function here at Cleo; a hotshot chapter of 65 Data Scientists, Product Analysts, and Analytic Engineers with significant industry experience who are at the heart of everything we do at Cleo.
We are looking for a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product.
- Conduct deep-dive analysis into subscription tiers, pricing tests, discount strategies, and packaging choices, using profit and loss metrics to understand user behaviour and investigate opportunities to increase conversion, drive upsell, and optimise LTV across different customer segments
- Influence the roadmap of your team through presentation of data-based recommendations
- Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
- Conduct regular A/B tests and causal analyses to determine the impact of product changes on success metrics
- Build models of price sensitivity, bundling effectiveness, user-segmentation, and customer lifetime value, tailored to support tiered offerings and optimise monetisation strategies
- Work with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase
About you
- 5+ years of experience doing quantitative analysis within a cross functional digital product environment
- A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
- Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions
- Proven experience with designing and analysing pricing experiments, such as A/B tests for subscription tiers, discount effectiveness, or value-based packaging strategies
- Ability to define new product metrics from complex, unstructured data
- Fluency with commercial data and key concepts around user value and profitability
- Fluency in Python and its application in data analysis
- Knowledge of statistics (e.g. hypothesis testing, regressions)
- Excellent SQL skills
- Experience with data visualisation tools such as Tableau, Superset, Looker, Mode
- Experience with data modelling/dbt is a nice-to-have, but not essential
What do you get for all your hard work?
- A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. You can view our public progression framework and salary bandings here: https://cleo-ai.progressionapp.com/
- Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures
- A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
- Flexibility. We can’t fight for the world’s financial health if we’re not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work
- Work where you work best. We’re a globally distributed team. If you live in London we have a hybrid approach, we’d love you to spend one day a week or more in our beautiful office. If you’re outside of London, we’ll encourage you to spend a couple of days with us a few times per year. And we’ll cover your travel costs, naturally.
- Other benefits;
- Company-wide performance reviews every 6 months
- Generous pay increases for high-performing team members
- Equity top-ups for team members getting promoted
- 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days)
- 6% employer-matched pension in the UK
- Private Medical Insurance via Vitality, dental cover, and life assurance
- Enhanced parental leave
- 1 month paid sabbatical after 4 years at Cleo
- Regular socials and activities, online and in-person
- We’ll pay for your OpenAI subscription
- Online mental health support via Spill
- Workplace Nursery Scheme
- And many more!
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
