Business Intelligence Analyst

📋 Description Build end-to-end analytical models to evaluate customer lifecycle, including acquisition → activation → retention → monetization. Leverage outputs from ML models (churn, LTV, propensity) to drive predictive analytics and decision frameworks. Develop advanced segmentation models using clustering techniques (k-means, hierarchical clustering, DBSCAN) and behavioral feature engineering. Perform deep funnel analysis using event-level data (clickstream, product interactions) to identify inefficiencies and optimization opportunities. Design and evaluate experimentation frameworks (A/B testing, multivariate testing) with statistical rigor. Build data pipelines for analytics use cases using SQL and Python, ensuring scalability and reproducibility. 🎯 Requirements Strong SQL expertise for large datasets. Advanced Python (pandas, NumPy, SciPy, statsmodels). Experience with statistical modeling and hypothesis testing. Familiarity with machine learning concepts and interpreting outputs. Data visualization tools: Tableau, Power BI, Looker. Product analytics tools: Amplitude, Mixpanel, GA4. A/B testing frameworks and experimental design. 🎁 Benefits Work with one of the world's leading financial derivatives institutions. Competitive salary plus performance-based incentives. 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.