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.

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