Staff Growth Analytics: Attribution & Incrementality

Qonto; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Real ownership

Snowflake

Tableau

Career growth

Descripción de la vacante

Qonto is seeking a Staff Data Analyst – Growth in Madrid to own attribution models and incrementality tests across channels. You will design geo tests, conversion lift studies, and drive the roadmap for incrementality insights.

You will translate complex results for stakeholders and leverage AI to deliver actionable dashboards. You will work closely with Growth and Analytics leads to turn marketing spend into evidence-backed decisions, shaping how we measure success and allocate budgets across

Formación

• Own attribution model and explain last-click vs first-click
• Test incrementality inside ad platforms (geo tests / conversion lift)
• Explain technical results to non-technical stakeholders and guide decisions
• Proficient in SQL and BI tools (Snowflake, Tableau) and apply AI in workflows

Responsabilidades

• Own attribution end-to-end — maintain models and touchpoint definitions
• Design and run geo tests and conversion lift studies in Google Ads and Meta Ads
• Build the incrementality testing roadmap within the initial months
• Help channel teams and Finance interpret the numbers accurately
• Use AI across the workflow to translate asks into dashboards and insights

Conocimientos

Attribution modelling

Incrementality testing

Communication to stakeholders

SQL

BI tools (Snowflake/Tableau)

AI in workflow

Herramientas

SQL

Snowflake

Tableau

Descripción del empleo

Qonto is seeking a Staff Data Analyst – Growth in Madrid to own attribution models and incrementality tests across channels. You will design geo tests, conversion lift studies, and drive the roadmap for incrementality insights.

You will translate complex results for stakeholders and leverage AI to deliver actionable dashboards. You will work closely with Growth and Analytics leads to turn marketing spend into evidence-backed decisions, shaping how we measure success and allocate budgets across