Product Analytics Manager - EWA

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.

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As part of the pillar leadership team in EWA (short for Earned Wage Access) - alongside managers in product, engineering, credit, commercial and design - you will play a strategic decision-making role in Cleo’s key revenue-driving product. Your deep understanding of user behaviour, our machine learning models and key product & commercial metrics will make you an integral part of the team delivering the next generation of the EWA product; ensuring that we deliver the right amount, at the right time, to the right users. EWA is a product used by 78% of the Cleo user base, guaranteeing that you’ll be right at the heart of decisions that impact the entire business.

You will line manage 2 (senior and lead level) Product Analysts. But this is not just a managerial role; you remain hands on! You will deliver high-impact analytics covering your pillar and cross-squad opportunities, driving company visibility into how our users interact with and benefit from EWA as well as how we can best drive and prioritise improvements to the EWA experience.

Roles & Responsibilities

• Pillar leadership
• Work with EWA pillar leadership to build a discovery roadmap and ensure we make data-driven decisions to improve the core EWA experience of “right amount, right time, right repayment” for our users. Additionally, use analytics to play a key role in shaping the next generation of the EWA experience; validating hypotheses early and enabling rapid product development.
• Set best practices and support the team in OKR planning, setting a standard for how to prioritise initiatives on the product roadmap. 
• Oversee the A/B testing calendar for the pillar and ensure best practices are followed to enable robust measurement (while balancing the need to move quickly).
• Team building and management
• People-manage those in the team, promoting their performance and development.
• Oversee the workload and strategy of the analysts in the pillar, ensuring your team is motivated, fulfilled, and driving impact.
• Individual contribution
• Proactively deliver high-impact analysis that directs pillar-wide product roadmapping.
• Deep dive into key metrics to ensure we fully understand trends and root causes.
• Continually surface import insights through pillar-level dashboards and alerting.
• Build and improve analytical capabilities to enable short and long-term success
• Be an advocate for analytics and A/B test best-practices, constantly pushing the data chapter forward in this area.
• Work with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase.
• Enable continuous discovery and timely insights. You will coordinate discovery roadmaps and regular insights sessions, build self-serve dashboards, and facilitate an understanding of metric drivers amongst senior leadership.

• Extensive analytics experience: You have 7+ years experience in a data/analytics field. You have previously improved user product engagement through data-driven insights and experimentation, and have linked those improvements to commercial results. Exposure to and familiarity with ML predictive modelling is a bonus, but not required.
• Leadership and managerial experience: Experience leading a high-performing team of at least 2 analysts. You set a high bar in technical skills and using insight to influence strategy.
• Impact-focussed: You are skilled at influencing decisions through data storytelling. You guide your team to build frameworks of what is really important for success of the product and produce timely insights that impact decision-making and drive success.
• Knowledge of experimentation and statistics: Experience conducting large scale A/B experiments that involve big changes to user value propositions, and interpreting results to drive product and business decisions. A solid understanding of statistics as applied to analytics (e.g. experimentation, geo-lift, synthetic control). Python and ML-analytic skills are a bonus.
• Metrics and initiative sizing: Strong track record in using analytics to help teams succeed. You know how to help teams pick the right success metric and decompose that metric into growth levers. You work closely with senior stakeholders to ensure rapid feedback cycles on decision-making.
• Data foundations: You have worked end-to-end across the data pipeline and understand best-practices in defining effective tracking, data modelling, and building self-serve dashboards.
• Standard setter: You’re someone who raises standards, with proven impact in contributing to the capabilities of a data team.
• Cross functional collaboration: You have previously worked closely with Commercial or Credit teams and have plenty of experience understanding how to translate product metrics into commercial impact. You understand the dynamic of cross-functional squads and how analytics can contribute in such teams. Previous collaboration with ML engineering or data science is a bonus.

We are looking for a self-starter, focused on results, with demonstrated success in utilising insight to drive the success of a product.