Analytics Manager - Marketing Science

Wise is a global technology company building the best way to move and manage the world’s money. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise helps them save time and money.

Your Mission

You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best representation of marketing’s impact and actionable insights that drive marketing optimization across the company.

Key Responsibilities

• Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models.
• Collaborate effectively with marketing channels, data science and data engineering, and other cross-functional teams to identify and prioritize key business needs in our measurement products.
• Manage and develop a team of two analysts in different IC levels, fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented.
• Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations.
• Leverage AI tools to optimize and scale our processes, and provide deep dives.
• Define processes for marketing channel optimization based on different measurement solutions available.
• Own the end-to-end technical build of the new features of the attribution model, leveraging tools like dbt, SQL and Python to create a robust and scalable solution.
• Generate insights to provide strategic recommendations on how to optimize marketing channels and spend.
• Act as a subject matter expert on our whole measurement framework.

Qualifications

• Bachelor’s degree in Statistics, Economics, or other relevant fields.
• 4+ years of experience in a marketing analytics or data science role.
• Leadership/management experience is advantageous but not required.
• Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Lightdash). dbt is advantageous.
• Experience building and deploying data pipelines and models is essential.
• Very strong, hands‑on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation.
• Knowledge of Marketing Mix Models and experimentation.
• Proven ability to think strategically about how to use and improve an analytical product to drive business value.
• Excellent project management and stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences.
• Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing.

Benefits

• RSU's in a growing and public company
• Work from anywhere in the world for up to 90 days a year
• Flexible working – you’re trusted to do the right thing and be responsible
• 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
• Pet friendly offices
• Lots of fun group activities like yoga, running and boardgame nights