Senior Analytics Manager - Growth in London

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.

We aim to make financial movements easier and save customers money as part of a mission to provide seamless global payments.

Job Description

This role focuses on growth analytics. You will help us pilot strategies, influence direction and ensure that business decisions are based on accurate and scalable financial data.

Your Mission

At Wise, we have a clear mission – money without borders.

As a Fin Tech company moving billions of GBP of customer money in over 70 countries, we require bullet‑proof financial insights.

The Lead Analyst will lead our Growth analytics team in London.

• What You’ll Be Doing
• Your principal responsibility is to make an impact and lead us to better decisions for the company and our customers.
• Lead a team of analysts responsible for curating datasets, surfacing metrics, applying statistical modelling and conducting deep‑dive analysis that influences the company’s strategy.
• Serve as the conduit between the analytics team and the rest of the organization, shaping stakeholder expectations and aligning team work accordingly.

• The team will focus on the following

• Analyzing growth drivers and publicizing findings to key decision makers.
• Building repeatable explanatory frameworks around growth performance.
• Working with DS teams to build customer models that improve performance understanding.
• Partnering with other analytics teams to integrate a global perspective into local efforts.
• Leading and managing a team of three analysts, with the expectation of further growth.

Who You Are

• 5‑6 years of analyst experience with 2‑5 years of people leadership.
• Strong analytical ability and intermediate‑to‑advanced SQL skills.
• Understanding of statistics and modelling, including central tendency, variance, hypothesis testing, feature engineering, regression, and clustering.
• 2‑4 years in similar roles.
• Data visualization and storytelling proficiency.
• Self‑organisation and stakeholder management capabilities.
• Demonstrated impact and willingness to exceed basic role expectations.
• Experience with Python or R.
• Mathematical background.

Desirable

• Experience with dbt.
• Data modelling in a data‑warehouse context.
• Understanding of testing and experimental design.
• Additional Information

Wise conducts background checks on all new hires, including criminal and credit checks, to meet regulatory obligations. Discuss any concerns with the recruiter.

Benefits

• RSUs in a growing, public company.
• Work from almost anywhere in the world for up to 90 days a year.
• Flexible working – you’re trusted to manage your responsibilities.
• Private medical insurance plus life insurance.
• Discounted gym memberships and cycle‑to‑work scheme.
• A paid six‑week sabbatical after four years.
• 26 weeks of maternity leave at full pay.
• Annual self‑development budget.
• Annual Mission Days festival.
• Pet‑friendly offices.
• Group activities such as yoga, running and board games.

Our Values

We believe teams are strongest when diverse, equitable and inclusive. We celebrate differences and ensure every Wiser feels respected and empowered.

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