Senior Data Analyst, Marketing Measurement

This is a fully remote position, open to applicants in United Kingdom, +2 more countries.

📋 Description

• Assist in the development of marketing attribution models and methodologies, including the assessment of conversion crediting and reconciling differences between platform-reported data and first-party metrics.

• Create and sustain marketing data models for expenditures, attribution, orders, and customer cohorts in collaboration with Analytics Engineering.

• Provide analytical support for Growth and Marketing initiatives, including campaign performance analytics, self-service dashboards, and AI-driven analytics.

• Design and execute geographical experiments, covering power analysis, market selection, success criteria, and results evaluation.

• Co-manage a quarterly incrementality testing roadmap across various channels and markets.

• Address spillover effects, seasonality, and small-market variability, while reporting on incremental Customer Acquisition Cost (CAC) and Return on Advertising Spend (ROAS) with a focus on uncertainty.

• Transform test outcomes into investment recommendations regarding marginal returns, saturation levels, and budget allocation.

• Establish and document standards for causal measurement.

• Advocate for the measurement framework and rigorously evaluate platform claims.

• Assist Growth, Acquisition, and Finance teams in navigating business inquiries, formulating hypotheses, and making budgetary decisions.

• Develop reusable experimentation tools and templates in partnership with Analytics Engineering and MarTech.

• Record tests and decisions while enhancing the marketing measurement capability.

⛳️ Requirements

• A minimum of 3 years' experience in marketing measurement, including attribution, incrementality, or marketing mix modeling.

• A proven history of analysis that has influenced actual budgetary decisions.

• Strong understanding of causal inference and experimental design principles.

• Experience with randomized and quasi-experimental methodologies such as synthetic control and difference-in-differences.

• Proficiency in simulation-based power analysis for test sizing and design.

• Excellent statistical judgment and the ability to quantify and articulate uncertainty.

• Practical experience with marketing attribution models and their limitations.

• Familiarity with experiments that calibrate Marketing Mix Modeling (MMM) and attribution.

• Understanding of marginal-return and budget optimization concepts.

• Expertise in SQL and Python programming languages.

• Experience working with BigQuery or Snowflake data warehousing solutions.

• Familiarity with Business Intelligence (BI) tools such as Lightdash or Looker.

• Strong data modeling abilities using dbt or similar tools.

• Solid core analytics skills, including expertise in CAC, LTV, retention, funnel, and cohort analysis.

• Experience in creating dashboards and facilitating self-service BI solutions.

• Demonstrated capacity to influence senior stakeholders and shape strategic roadmaps.

• Comfort with ambiguity and a focus on data improvement.

• Proficient English communication skills for both meetings and asynchronous work.

🏝️ Benefits

• Fully remote work by design.

• Full-time, permanent employment.

• Salary ranges aligned with local market rates and cost of living.

• Equal-opportunity employer.

• Reasonable accommodations available upon request for individuals with disabilities throughout the job interview process.

• Background checks conducted only with prior consent and as permitted by applicable law.