About this role
Responsibilities:
- Build, maintain and improve attribution models, and support new attribution model releases.
- Develop and refine marketing mix models (MMM) to understand channel contribution and guide budget allocation.
- Design and analyze incrementality tests and experiments to measure the true impact of marketing activity.
- Deliver regular reporting and deep-dive analysis on channel, campaign and user performance across markets.
- Turn findings into clear, actionable recommendations for marketing stakeholders, linked to acquisition cost, client value and revenue.
- Define and document marketing metrics and KPIs so the team works from one source of truth.
- Improve the measurement inputs that feed our AI-driven budget recommendation and automation systems.
- Partner with MarTech, analytics engineering and, increasingly, Product Marketing and CRM teams on shared measurement needs.
Requirements:
- 3–5 years of experience in marketing analytics, growth analytics or a similar role.
- Experience in financial services, such as trading, brokerage, fintech or banking is a must .
- Hands-on experience with attribution modeling and/or marketing mix modeling.
- Strong SQL skills and experience working with large marketing datasets.
- Solid understanding of statistics and experimentation, including incrementality testing.
- Strong critical thinking: you structure ambiguous problems, challenge assumptions and connect analysis to business impact.
- Ability to explain complex findings clearly to non-technical stakeholders.
Nice to have:
- Python (or R) for analysis and modeling.
- Hands-on experience with Tableau (or a similar BI tool) and analytics platforms like Google Analytics 4.
- Experience using AI tools or LLMs for analysis or workflow automation, at work or in your own projects.