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About the Role

We are seeking an Analytics Manager to lead the strategy, execution, and evolution of our marketing measurement framework. This role offers the opportunity to significantly influence the impact of global marketing investments and guide a team of analysts in building and maintaining our measurement systems.

Responsibilities

• Own the strategy and implementation of our triangle of measurement, including marketing attribution models, experimentation, and Marketing Mix Models.
• Collaborate with marketing channels, data science, data engineering, and other cross-functional teams to identify and prioritize business needs in measurement products.
• Manage and develop a team of two analysts, fostering their growth and ensuring high-quality, outcome-oriented output.
• Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and solutions.
• Leverage AI tools to optimize and scale processes and provide deep-dives.
• Define processes for marketing channel optimization based on available measurement solutions.
• Own the end-to-end technical build of new attribution model features using dbt, SQL, and Python.
• Generate insights and provide strategic recommendations for marketing channel and spend optimization.
• Act as a subject matter expert on the entire measurement framework.

Requirements

• 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; this role is an opportunity to step into a leadership position.
• Proficiency in SQL, advanced in Python, and experience in data visualization tools (e.g., Lightdash).
• Experience building and deploying data pipelines and models is essential.
• Very strong, hands-on knowledge of marketing attribution models, including methodologies, use cases, limitations, and best practices.
• Knowledge of Marketing Mix Models and experimentation.
• Proven ability to strategically improve analytical products to drive business value.
• Excellent project management and stakeholder management skills.
• 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.

Skills

• SQL
• Python
• Data visualization tools (e.g., Lightdash)
• dbt
• Marketing attribution models
• Marketing Mix Models
• Experimentation
• Data pipelines
• Data models
• Project management
• Stakeholder management

Location

• London

Work Type

• Full-time

Experience Level

• 4+ years
• Leadership opportunity

Education Level

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

Salary/Compensations

• £75,000 - £115,000

Benefits

• RSU's in a growing and public company
• 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
• Pet friendly offices
• Lots of fun group activities like yoga, running and boardgame nights

About the Company

• Wise is a global technology company building the best way to move and manage the world’s money.
• We are on a mission to make international money transfers easier and more affordable.
• We believe teams are strongest when they are diverse, equitable and inclusive.
• We are proud to have a truly international team and celebrate our differences.

Equal Opportunity

• 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.