Senior Marketing Analyst

Senior Marketing Analyst at Tabby in Belgrade, Serbia. FinTech company with 25M+ users. Role involves CRM analytics, experimentation, and dashboard building.

Be the analytics partner to CRM marketers and Product on every initiative and work with them on how to improve results; Answer questions on how to correctly measure CRM activity: choosing the right measurement design for a campaign type, 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.

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 (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 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: finding problems in data and processes before stakeholders do, auditing your domain independently, and bringing 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.

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 employee stock option program; Inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals.