Senior Marketing Analyst

About the role As the Senior Marketing Analyst for CRM, you will be the single analytics owner of CRM - the person marketers come to as a partner. You will own how campaigns are measured, how the communication data is built and trusted, and how insights turn into decisions: what to stop, scale, or fix. You will work closely with CRM marketers, Product, and the data platform team. You define what data you need and accept its quality; you do not build the pipelines yourself. • Be the analytics partner to CRM marketers and Product on every initiative. Work with them on how to improve results. • Answer "how do we correctly measure CRM activity" questions: choosing the right measurement design for a campaign type (always-on journeys vs one-off blasts vs product launches), defining what "delivered" means per channel, and defending the methodology to stakeholders • Explain the technical side in plain language: how an experiment works, what a holdout is for, why a number can or cannot be trusted, so marketers make decisions they actually understand • Own how CRM performance is measured: control groups, holdouts, A/B tests • Own the CRM analytics data in dbt on BigQuery: who gets which message, on which channel, for which product, and how often • Be the customer of the data platform team: say what data you need from the CRM and attribution tools, agree on timelines, and sign off on quality. You own what the numbers mean; they build the pipelines. • Build Tableau dashboards that earn their place: visualisations stakeholders can open to check a hypothesis, answer their own question, or spot an insight in minutes. • Keep the self-serve AI analytics assistant up to date, so non-technical colleagues can get answers to simple questions and run their own ad-hoc analysis without waiting for an analyst • Work with a data science team, ask the right questions about a recommendation or propensity model, spot when it is not doing its job, and drive the test that proves it • 3+ years of experience as a data/marketing/CRM analyst, with exposure to CRM, lifecycle, or retention analytics • Strong SQL and hands-on dbt experience (we run dbt on BigQuery); experience designing and maintaining data models, not just querying • Experience with CRM engagement platforms: Customer.io , MoEngage, Braze, Iterable or similar: you understand journeys, events, profile attributes, and delivery semantics • Solid experience with marketing experimentation: holdout design, global static control groups, control group integrity, A/B tests, incrementality vs attribution • Proficiency in Python • Proficiency in Tableau (or similar BI tool) • Proactive ownership: you find problems in data and processes before stakeholders do, audit your domain independently, and bring your own agenda and ideas on how to achieve business goals. • Thinking partnership: stakeholders should be able to brainstorm with you, not just hand you tasks. • First-time-right quality: numbers you ship are trusted without a second verification pass; Nice-to-have • You now how Uplift modeling and causal ML works and can create MVP version • Propensity / churn / LTV modeling