Product analyst

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

• Own the analytical direction for understanding Global Product growth, identifying the biggest gaps in how we currently measure, explain and attribute our growth.
• Build a historical growth explainer model, developing a robust framework to explain where our growth comes from, how different products and initiatives contribute to it, and how much of today's performance is driven by investments made in the past versus more recent activity.
• Connect product investments to business outcomes, helping teams understand the incremental momentum generated by previous launches, the time it takes for impact to materialise and where we are seeing genuine new growth versus underlying momentum.
• Automate our analytical lookbacks, moving beyond manual, retrospective analysis towards scalable approaches that consistently explain what has moved our metrics and why.
• Drive AI deployment across Global Product Analytics, identifying opportunities to use AI and automation to improve the quality, speed and scalability of our analytical work.
• Rethink experimentation reporting, building more automated and insightful approaches to how we report, interpret and communicate experimentation results across Global Product.
• Automate recurring performance reporting, including quarterly KPI updates and other regular analytical processes, reducing manual work while improving the consistency and quality of insights.
• Develop a causal understanding of product adoption, investigating how customers' behaviours, engagement, value and economic contribution change as they adopt different features and products.
• Understand the relationship between adoption and sustainability, identifying which adoption journeys lead to stronger customer outcomes, greater product depth and more sustainable long-term value.
• Partner with Product, Engineering and Analytics leads across Global Product to turn these insights into better investment decisions, product priorities and growth strategies.
• Build scalable data models, analytical frameworks and tools that can be reused across teams, raising the overall standard of how we measure and understand growth.
• Champion technical excellence and mentor other Analysts, helping raise the analytical and technical bar across Wise.

• Exceptional analytical thinking — you're naturally curious about what drives business performance and can move beyond describing what happened to understanding why it happened.
• Growth and product understanding — you understand product growth, customer behaviour, adoption and the relationship between product usage and long-term customer value.
• Causal inference and measurement expertise — you have experience designing robust approaches to understanding incremental impact, measuring the effects of product changes and separating correlation from causation.
• Strong technical capability — expert SQL, strong data modelling skills and experience building complex analytical models and scalable data solutions.
• AI and automation mindset — you're excited about applying AI and automation to analytical workflows, with experience or strong interest in building practical solutions that improve how teams work.
• Experimentation expertise — you understand experimentation frameworks, how to interpret results and how to build scalable approaches to measuring product impact.
• Strategic thinking — you can identify the biggest gaps in how a business understands its performance, prioritise the most valuable problems and connect analytical work to wider company goals.
• Cross-functional partnership — you've worked closely with Product, Engineering and Analytics teams, influencing how they think about growth and make decisions.
• Senior stakeholder influence — you're comfortable challenging assumptions, communicating complex insights clearly and shaping decisions across multiple teams.
• High autonomy — you thrive in ambiguity, proactively identify opportunities and enjoy building something from the ground up rather than simply executing an existing roadmap.
• Technical leadership without people management — you lead through expertise, standards, frameworks, mentoring and the quality of your own delivery.

• Base salary of £105,000 - £150,000
• RSU's in a growing and public company
• Work from (almost) anywhere in the world for up to 90 days a year
• Flexible working - you’re trusted to do the right thing and be responsible
• Private Medical Insurance + Life Insurance
• Discounted gym memberships and cycle to work scheme
• A paid 6-week sabbatical leave after four years
• 26 weeks maternity leave at full pay
• An annual self-development budget
• Annual Mission Days festival
• Pet friendly offices
• Lots of fun group activities like yoga, running and boardgame nights