At a Glance
- Tasks: Lead the Product Analytics function, driving insights and strategy for our Chat pillar.
- Company: Cleo is a fast-growing tech startup focused on empowering financial well-being through AI.
- Benefits: Enjoy competitive pay, flexible work options, 25 days leave, and a month paid sabbatical after 4 years.
- Other info: We celebrate diversity and encourage applications from all backgrounds.
- Why this job: Join a dynamic team making a real impact in users' financial lives with innovative analytics.
- Qualifications: 7+ years in analytics, leadership experience, and a knack for data storytelling required.
The predicted salary is between 113135 - 142632 £ per year.
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.
About Cleo
People come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being.
Backed by some of the most well-known investors in tech, we’ve reached over 7 million users and plan to double that number each year... which is where you come in.
What You\'ll Be Doing
This role is AX5 level (Senior Manager) in our progression framework. You will lead the Product Analytics function in the Chat pillar.
As part of the pillar leadership team in Chat - alongside managers in product, marketing, engineering, machine learning, research and design - you will play a strategic decision-making role in one of Cleo’s key market differentiators, working closely with the executive team to shape the product roadmap for how we use conversational AI to engage our users and help them meet their financial goals.
You will line manage 5 (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 Chat as well as how Chat can be used as a growth driver for company objectives.
- Work with Chat pillar leadership to build a discovery roadmap and ensure we make data-driven decisions to improve the quality of chat interactions, understand our users’ current financial reality, and leverage chat to coach users towards meeting their goals.
- Set best practices and support the team in OKR planning, linking Chat improvements to increased user engagement and retention and setting a standard for how to prioritise initiatives on the product roadmap.
- Team building and management
- People-manage those in the team, promoting their performance and development.
- Oversee the workload and strategy of the analysts in your area, 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 important 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.
About You
- 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 machine learning / conversational AI is a plus, but not required.
- Leadership and managerial experience: Experience leading a high-performing team of at least 5 analysts. You set a high bar in technical skills and using insight to influence strategy.
- Impact-focused: 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, 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 User Research and have plenty of experience integrating research with analytics work. 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.
What do you get for all your hard work?
- A competitive compensation package (base + equity). You can view our progression framework and salary bandings here: https://cleo-ai.progressionapp.com/data - this position is AX5 level and we can pay £113,135 - £142,632 p.a depending on experience.
- Work at one of the fastest-growing tech startups, backed by top VC firms, Sofina, 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. Our office is in London and we have a hybrid approach, we encourage you to spend one day a week or more in our beautiful office but this is fully flexible.
- Other benefits:
- 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo).
- Check out our new benefits package here: https://web.meetcleo.com/blog/big-benefits-energy-the-latest-cleo-employee-benefits
- 401k matching in the US and 6% employer-matched pension in the UK.
- 1 month paid sabbatical after 4 years at Cleo!
- Regular socials and activities, online and in-person.
- Online mental health support via Spill.
- We\'ll pay for your OpenAI subscription.
- And many more!
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#J-18808-LjbffrProduct Analytics Manager employer: cleo
Cleo is an exceptional employer that champions diversity and inclusion, creating a supportive environment for all employees. With a strong focus on employee growth, competitive compensation, and a flexible hybrid work model in London, Cleo empowers its team to thrive both personally and professionally while making a meaningful impact in the financial well-being of millions.
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We think this is how you could land Product Analytics Manager
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We think you need these skills to ace Product Analytics Manager
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.