Senior Data Analyst, Marketing Measurement

New

AiraloTravel technology

This role is remote and open to candidates across our supported locations in Europe.Full-TimeSenior

Salary64,000 - 96,000 GBP per year

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Job Details

Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
Experience: 3+ years of experience in marketing measurement (attribution, incrementality or marketing mix modelling)
Required Skills: PythonSQLSnowflakeBigQuerydbt

Have 3+ years of experience in marketing measurement, including attribution, incrementality or marketing mix modelling.
Show a track record of analysis that changed real budget decisions.
Apply causal inference and experimental design, including randomized and quasi-experimental methods such as synthetic control and difference-in-differences.
Use simulation-based power analysis to size and design tests, and understand when methods break down.
Quantify uncertainty, explain it clearly and avoid overclaiming results.
Have hands-on experience with marketing attribution models and reconciling platform-reported results with first-party data.
Understand how experiments calibrate MMM and attribution, along with marginal returns, saturation and diminishing returns.
Have expert SQL and Python skills, production-quality coding experience, and experience with BigQuery or Snowflake and a BI tool such as Lightdash or Looker.
Design clean, tested and documented data models using dbt or similar, and work closely with Analytics Engineering.
Use marketing and customer metrics including CAC, LTV, retention, funnel and cohort analysis, and support dashboards and self-serve BI.
Influence senior stakeholders, shape roadmaps and explain decisions with a clear rationale.

Review marketing attribution models and methodology, reconcile platform-reported and first-party results, and document the approach.
Design and maintain marketing data models for spend, attribution, orders and customer cohorts with Analytics Engineering.
Support Growth and Marketing with campaign and market analysis, dashboards and AI-assisted analytics.
Design and run geo experiments, from power analysis and market selection through success criteria and read-out.
Co-own a quarterly incrementality test roadmap across channels and markets, and track tests through to decisions.
Account for spillover, seasonality and small-market noise, and report incremental CAC and ROAS with uncertainty.
Translate test results into investment guidance, including estimates of marginal returns and saturation by channel and market.
Set and document causal measurement standards and explain how results calibrate attribution and MMM.
Guide Growth, Acquisition and Finance from business questions to testable hypotheses and budget decisions.
Build reusable experiment tooling and templates with Analytics Engineering and MarTech, documenting tests and decisions.

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