Senior Marketing Data 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 life 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.

Job Description

We are looking for a results-oriented Senior Marketing Analyst to join our Marketing Analytics team at Wise. Our mission, "Money Without Borders," inspires us to create the best ways to move and manage money globally. If you're excited about this mission and want to make a real impact through data-driven marketing insights, this role is perfect for you. You'll work closely with our digital marketing teams to uncover growth opportunities and optimize our customer acquisition strategies across multiple channels.

Key Responsibilities

• Partner with digital marketing teams to identify and solve complex commercial problems that drive customer acquisition and growth
• Design and analyze A/B tests and experiments to validate hypotheses and measure the impact of marketing initiatives
• Build robust analytical frameworks to understand marketing performance across the full customer journey, from awareness to activation
• Develop predictive models and segmentation strategies to improve targeting and personalization
• Create comprehensive dashboards and reporting systems that enable data-driven decision making across the organization
• Conduct deep-dive analyses into customer behavior, channel performance, and market trends to uncover actionable insights
• Collaborate with cross-functional teams to translate analytical findings into strategic recommendations and business outcomes
• Champion a culture of experimentation and continuous improvement within the marketing organization
• Optimize marketing spend efficiency by analyzing unit economics, attribution models, and incrementality

Qualifications

• Minimum 2-3 years of experience in marketing analytics, growth analytics, or related analytical role
• Strong proficiency in SQL and Python/R for data manipulation and analysis
• Experience with modern data stack tools (Looker, Tableau, or similar)
• Proven track record of designing and analyzing A/B tests with statistical rigor
• Deep understanding of marketing unit economics including CAC, LTV, Payback Period, and ROAS
• Experience with digital marketing channels (paid search, paid social, SEO, display, etc.) and their measurement frameworks
• Strong commercial acumen with the ability to connect analytical insights to business impact
• Excellent communication skills with the ability to present complex findings to both technical and non-technical stakeholders
• Natural curiosity and passion for solving ambiguous marketing problems through data

Preferred Qualifications

• Experience with attribution modeling and marketing mix modeling
• Knowledge of mobile app analytics and Mobile Measurement Partners (MMPs)
• Familiarity with marketing APIs and automation tools
• Experience in fintech or high-growth technology companies
• Understanding of statistical methods and causal inference

What We're Looking For

We want someone who is genuinely excited about using data to solve marketing challenges. You should be comfortable with ambiguity, have a strong bias for action, and be able to balance perfectionism with pragmatism. The ideal candidate will be intellectually curious, always asking "why" and "what if," and passionate about turning data into stories that drive change.

Additional Information

• Base salary: £60k - £75k (based on experience & interview outcomes)
• Restricted Stock Units (RSUs)
• Read more about our full benefits offering here

Join Wise and help us change the way people move and manage money around the world through data-driven marketing excellence.

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.