Description
We are looking for an Analytics Manager to join our Marketing Science team and own the strategy, execution, and evolution of our marketing measurement framework.
As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
Your mission is to shape how we drive measurable impact of £M's of marketing investment across the globe. You will be a key leader, guiding a team of two analysts to build, maintain, and evolve our triangle of measurements from end to end.
The ideal candidate is a highly analytical hands-on leader with deep technical expertise, a strong understanding of advertising effectiveness, and the ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers, and finance teams.
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.
- 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.
Additional Information:
- Base salary of £75,000 - £115,000
- 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 board game nights