Product Analyst

Cleo is seeking a Senior Product Analyst to join their team and help drive the future of their AI-powered financial decision-making platform. The successful candidate will work alongside product managers, designers, and engineers to leverage user data and cutting-edge technology to turn insights into real products. They will be responsible for defining key product metrics, conducting A/B tests, building user-segmentation models, and communicating findings to non-technical stakeholders. The ideal candidate will have multiple years of experience in quantitative analysis within a digital product environment, excellent SQL skills, and experience with data visualization tools.

• Define key product metrics and track KPIs to analyse what really matters
• Understand user behaviour and identify levers to help move key metrics
• Conduct regular A/B tests across the product journey of a Cleo user
• Influence the roadmap of product teams through presentation of data-based recommendations
• Build models of user-segmentation, marketing attribution, customer lifetime value etc.
• Work closely with engineers to make sure we collect the right data to produce relevant business insights
• Multiple years of experience doing quantitative analysis, within a digital product environment
• Experience conducting large scale A/B experiments
• Excellent SQL skills
• Fluency in Python and its application in data analysis is a nice to have, but not essential
• A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
• Experience with data visualisation tools such as Tableau, Looker, or Periscope
• Knowledge of statistics (e.g. hypothesis testing, regressions)

• Multiple years of experience doing quantitative analysis, within a digital product environment
• Experience conducting large scale A/B experiments
• Excellent SQL skills
• Fluency in Python and its application in data analysis is a nice to have, but not essential
• A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
• Experience with data visualisation tools such as Tableau, Looker, or Periscope
• Knowledge of statistics (e.g. hypothesis testing, regressions)