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.