Description:

Role focused on using data and AI-driven insights to influence business performance.
Work with large datasets and predictive models to optimize customer journeys and drive acquisition, engagement, and retention.

Requirements:

Strong SQL expertise for querying and transforming large datasets.
Advanced Python skills for data analysis (pandas, NumPy, SciPy, statsmodels).
Experience with statistical modeling and hypothesis testing.
Familiarity with machine learning concepts and interpreting model outputs.
Experience with data visualization tools (Tableau, Power BI, Looker).
Exposure to product analytics tools (Amplitude, Mixpanel, GA4).
Strong understanding of cohort analysis, retention curves, LTV modeling, and funnel optimization.
Experience with A/B testing frameworks and experimental design.
Knowledge of marketing analytics concepts (ROI, ROAS, attribution models).
Ability to work with semi-structured and event-driven data.

Competitive salary plus performance-based incentives.
Access to a dynamic, international, and fast-growing environment.
Strong opportunities for career progression within a global financial group.
Be part of a business committed to innovation, excellence, and long-term growth.

Experience level

Skills

Benefits