Описание

As the Senior Marketing Analyst for CRM, you will be the single analytics owner of CRM, partnering with marketers to measure campaigns, build trusted communication data, and turn insights into decisions.

Responsibilities

Be the analytics partner to CRM marketers and Product on every initiative
Work with CRM marketers and Product 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
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

Requirements

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; understanding of 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: 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

Knowledge of Uplift modeling and causal ML and ability to create MVP version
Propensity / churn / LTV modeling

We offer

Remote work available in eligible locations, based within four hours of Dubai time
Relocation support to hubs in Armenia, Georgia, Serbia, Poland, and Spain is possible
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
Commitment to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals

Hiring process

Apply via the provided link