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.

More about our mission and what we offer.

We are seeking an experienced Analytics Manager to lead analytics for our Product Led Marketing channels at Wise, with a primary focus on our Invite (referral) program and secondary coverage of SEO. As a key member of the Marketing Analytics team, you will report to the Head of Marketing Analytics and work closely with our Product Led Marketing Lead to drive growth across these organic acquisition channels.

This is a high-impact, cross-functional role sitting at the intersection of Product and Marketing. You will partner closely with Product Managers building the invite experience, while also serving as a strategic analytics partner to the Marketing team who drive referral campaigns and promotions. You will own the measurement frameworks, ensure data integrity, and provide the analytical leadership to unlock new growth opportunities within our referral program.

Key Responsibilities:

Invite/Referral Program (Primary Focus):

• Serve as the primary analytics partner for our Invite program, working closely with the Product Led Marketing Lead and Product Managers to optimise the end-to-end referral experience.

• Analyse the referral funnel to identify drop-off points—from invite send to recipient sign-up to first transaction—and recommend product or messaging improvements.

• Evaluate the effectiveness of different referral incentive structures (e.g., reward amounts, two-sided vs. one-sided rewards, tiered rewards) and their impact on invite volume, conversion, and customer quality.

• Assess invite channel performance (email, WhatsApp, link sharing, in-app prompts) to understand which channels drive the highest quality referrals across different markets.

• Partner with Marketing to measure the impact of referral campaigns and promotional pushes, understanding how marketing activations influence invite behaviour.

• Build segmentation frameworks to identify our most valuable referrers and understand what drives customers to invite others.

• Develop predictive indicators for referral propensity to help Product and Marketing target the right customers at the right moments.

SEO (Secondary Focus):

• Partner with the SEO team to understand organic search performance across markets and identify content or technical opportunities.

• Analyse landing page conversion rates and user journeys from organic search to help optimise the acquisition funnel.

• Support keyword and market prioritisation decisions with data on search volume, competition, and conversion potential.

Cross-Functional:

• Design, implement, and own measurement frameworks for Product Led Marketing channels, including performance tracking, forecasting, and incremental impact assessment.

• Design and execute experiments (A/B testing, holdout testing, geo testing) to validate growth strategies and quantify the true incremental value of referral initiatives.

• Collaborate with Data Science on attribution modeling and understanding the interplay between organic referrals and paid acquisition.

• Contribute to data quality improvements by working with Product and Engineering teams to ensure reliable tracking of invite events and SEO performance.

• Manage and mentor analysts within the team, fostering their professional development and building strong analytics capabilities.

Required Qualifications:

• 4+ years of experience in marketing or growth analytics, ideally with exposure to referral/invite programs, viral loops, or product-led growth mechanics.

• Proven track record of influencing product and marketing decisions through data-driven insights.

• Experience working with ambiguous problem spaces and structuring analytical approaches from opportunity identification through to measurable outcomes.

• Comprehensive technical skillset spanning insight generation, data modeling (dbt), reporting, and statistical testing methodologies (e.g., A/B testing, incrementality testing).

• Extensive proficiency in advanced SQL for complex data manipulation in a data warehouse environment (e.g., Snowflake).

• Experience with a programming language such as Python or R for data analysis.

• Strong understanding of funnel analytics, cohort analysis, and customer segmentation.

• Excellent communication skills with the ability to partner effectively with both Product and Marketing stakeholders.

Preferred Qualifications:

• Professional experience in fintech, e-commerce, or a comparable high-growth technology industry.

• Direct experience analysing referral or invite programs, including incentive optimisation and viral coefficient measurement.

• Experience with SEO analytics, including understanding of organic search metrics and content performance.

• Experience collaborating with Data Science teams on predictive modeling or propensity scoring.

• Prior people management experience.

Salary Range: £75,000 - £100,000 (depending on experience and interview performance)

Restricted Stock Units (RSUs)

Read more about our full benefits offering here.

Key benefits:

• 🌎 Work from (almost) anywhere in the world for up to 90 days a year

• 🏥 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.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

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.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.