Business Intelligence Analyst

Multibank Group

2d

About The Position

This is a highly impactful role focused on using data and AI-driven insights to influence business performance. Working across large datasets and predictive models, you will uncover opportunities, optimize customer journeys, and shape strategies that drive acquisition, engagement, and retention. The role goes beyond reporting, requiring a proactive approach to identifying growth opportunities and translating complex data into clear, actionable recommendations. With strong visibility across the business, you will partner closely with stakeholders and play a direct role in driving measurable outcomes in a fast-moving, data-driven environment.

Requirements

• Strong SQL expertise with experience 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, 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.

Responsibilities

• Build end-to-end analytical models to evaluate customer lifecycle, including acquisition → activation → retention → monetization.
• Leverage outputs from ML models (churn, LTV, propensity scoring) 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.
• Work with large datasets from multiple sources (marketing platforms, product analytics tools, trading systems).
• Apply attribution modeling techniques (rule-based, probabilistic, MMM) to evaluate marketing performance.
• Translate complex datasets and model outputs into clear, commercially actionable insights.
• Automate recurring analyses and reporting using Python and workflow orchestration tools.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed