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Wise

Marketing Experimentation Analytics Manager

Posted 8 Hours Ago
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Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
The Marketing Experimentation Analytics Manager will develop marketing experimentation strategies, manage a team, and collaborate across departments to enhance marketing effectiveness through data-driven insights.
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Company Description

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.

Job Description

We are looking for an exceptional Marketing Experimentation Analytics Manager to own the strategy, execution and evolution of marketing’s experimentation roadmap at Wise. Experimentation is a key pillar for exploring marketing growth opportunities, driving smarter investment decisions and enhancing our marketing effectiveness measurement strategy.

This role is ideal for someone who already has early people management experience and wants to deepen their leadership impact while staying close to hands-on work.

Your Mission

Our marketing experimentation program is a core driver of wiser investment and sustainable growth. You will be responsible for shaping a world-class marketing’s experimentation roadmap, fostering the prioritisation of high value opportunities and guiding marketing teams on what, how, when and where to test and drive recommendations based on test results. You will be a key player in helping marketing teams accelerate their impact on the business.

Key Responsibilities

  • Develop a strategy, prioritization and roadmap for marketing experimentation.

  • Identify high impact testing opportunities across channels and influence them within marketing.

  • Collaborate with marketing and finance teams to define testing budgets and priorities.

  • Define priorities and analytics capacity for experimentation, balancing speed, rigor and impact.

  • Coordinate the experimentation agenda and ensure timely, high quality delivery.

  • Deliver best in class marketing experiment designs and results alongside our exceptional Lead Experimentation Analyst.

  • Ensure rigor in test design, analysis and interpretation.

  • Translate experimental results into clear, actionable insights and recommendations.

  • Present findings to marketing partners, helping them confidently act on results.

  • Advocate for evidence-based decision making across marketing teams.

  • Collaborate with data science and marketing analytics teams to integrate test results into our marketing effectiveness measurement framework.

  • Manage and develop a team of one marketing analyst (IC), fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented. 

  • Act as a subject of matter of measuring marketing effectiveness via experimentation.

Qualifications

  • Bachelor’s degree in Statistics, Economics, or other relevant fields. 

  • 4+ years of experience in a marketing analytics or data science role.

  • Experience managing a team of one analyst.

  • Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Looker). (dbt is advantageous).

  • Very strong experience in marketing experimentation, incrementality testing or causal inference. 

  • Hands on experience designing and analysing experiments. Must have experience working with Causal Impact / GeoLift / PyMC causal inference packages (or similar).

  • Deep understanding of statistical inference models.

  • Ability to connect analytics outcomes to marketing decisions.

  • Strong communication, project management and stakeholder management skills.

  • Outcome oriented mindset.

Qualifications

  • Salary Range: £75,000 - £100,000 (depending on experience and interview performance) 
  • Restricted Stock Units (RSUs)
  • Read more about our full benefits offering here

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.

Additional Information

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.

Top Skills

Causal Impact
Dbt
Geolift
Looker
Pymc
Python
SQL

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