Senior Marketing Analyst

Department: Marketing, Analytics

Employment Type: Full Time

Location: Remote

Description

What you will be doing

• 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

What you will need

• 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;

• You now how Uplift modeling and causal ML works and can create MVP version
• Propensity / churn / LTV modeling

Benefits:

• Flexible working hours, coordinated with your team and the needs of your role.
• Autonomy and responsibility from day one.
• Opportunities to grow through the quality and impact of your work.
• Participation in our employee stock option program.