Senior Marketing Analyst

As a Senior Marketing Analyst, you’ll sit at the intersection of marketing strategy and advanced analytics - turning measurement into decisions. The team already has key measurement building blocks in place (including outsourced Marketing Mix Modeling), and your focus will be to make those outputs truly usable in day-to-day budget and channel decisions by partnering closely with senior marketing stakeholders (including CMOs and regional marketing leads).

You’ll also strengthen how we measure incremental impact and build robust Lifetime Value (LTV) perspectives to guide sustainable growth.

In this role you will:

• Operationalize Marketing Mix Modelling (MMM) insights by bringing existing MMM outputs into real marketing planning—helping translate model learnings into practical budget allocation and optimization choices with marketing leadership
• Design and run incrementality testing (e.g., geo-experiments and lift studies) to validate model recommendations, quantify true causal impact, and build confidence in channel investment decisions
• Build and evolve Lifetime Value (LTV) models to better understand customer value over time and support decisions across acquisition and retention strategies
• Conduct causal impact deep-dives to explain performance shifts—such as the impact of specific campaigns or seasonal changes—grounded in rigorous analytical approaches
• Lead testing initiatives across key digital channels (SEM, Paid Social, Display) to identify what drives improvements in conversion funnels and acquisition cost efficiency
• Turn complex analysis into clear recommendations by presenting executive-ready narratives and actionable guidance for CMOs and regional marketing leads
• Partner with Data Engineering to ensure data quality and support reliable marketing measurement by maintaining integrity of the underlying marketing data
• Ensure analytics workflows align with privacy requirements, including GDPR compliance, as part of responsible measurement and experimentation practices

The skills you bring:

• Marketing analytics experience: 5+ years in marketing analytics or a marketing-focused data science role
• Strong hands-on technical toolkit: expert-level SQL for complex data work, plus strong Python (or R) for statistical modelling and automation
• Experimentation & causal measurement expertise: comfort with incrementality testing and a deep understanding of experimental design, Bayesian statistics, and causal inference
• Marketing measurement depth: proven ability to work with MMM outputs and apply them in real-life marketing decision-making (rather than only building models)
• Data warehouse familiarity: experience with Snowflake (or similar cloud data warehouses)
• Relevant education or equivalent experience: degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or comparable practical expertise
• Domain experience (nice to have): exposure to high-volume digital businesses such as classifieds, e-commerce, or marketplaces
• Core strengths aligned to the role: LTV, incrementality testing, and causal inference