Business Intelligence Analyst

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.

Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.

Role Overview

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.

Key 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.

Technical 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.

Why Join Us?

• Work with one of the world’s leading financial derivatives institutions.

• 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.

Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.

MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.