Job Description

London

About the Role

At Wise, our Staff Analyst is one of our most senior individual contributor roles in Analytics.

A Staff-level Analyst at Wise is a senior IC who defines and owns the analytical direction for a broad problem space or domain — identifying the right problems to solve, shaping priorities and ways of working, setting the measurement approach, building scalable solutions, and influencing senior stakeholders to drive outcomes across multiple teams.

In this role, you'll help us fundamentally improve how we understand and measure growth across Global Product. We have a lot of data on what is happening across our products, but we need to get much better at understanding where our growth actually comes from, what is driving it and how the things we build translate into long-term customer and business value.

You'll lead the development of a much stronger understanding of our historical and incremental growth — connecting product launches and investments to the growth we see today, distinguishing the impact of recent initiatives from the momentum created by things we've built in the past, and helping teams understand what is really moving our business forward.

You'll also help us rethink how we use AI and automation across Product Analytics. From experimentation reporting to quarterly KPI updates and performance reviews, there is a significant opportunity to make our analytical processes more scalable, automated and insightful.

Finally, you'll develop a deeper understanding of product adoption across Global Product: how customers evolve as they start using different features, how their behaviours change and what this means for customer value, engagement and the sustainability of our growth.

This is a role for someone who combines exceptional analytical thinking, technical depth and curiosity with a strong interest in building new ways of working. You'll be expected to set direction, build solutions yourself and influence how teams across Global Product understand and drive growth.

What you'll do

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.

What you'll bring

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.

Qualifications

Additional Information

Some of our benefits:

💰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

Find out more about our benefits in our London office.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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