Business Intelligence Analyst
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Key skills for this role
About the Role
MultiBank Group is seeking a Business Intelligence Analyst to use data and AI-driven insights to influence business performance. The role involves building analytical models, developing segmentation, performing funnel analysis, and translating complex data into actionable recommendations.
Key Skills for This Role
Responsibilities
- Build end to end analytical models to evaluate customer lifecycle: 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 and behavioral feature engineering
- Perform deep funnel analysis using event level data 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
- Work with large datasets from multiple sources (marketing platforms, product analytics tools, trading systems)
- Apply attribution modeling techniques 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
- Partner with business, product, marketing, and technology teams to identify opportunities for AI and advanced analytics
- Monitor model performance, data quality, and business impact, continuously refining analytical frameworks
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 and funnel optimization
- Ability to evaluate model performance using metrics such as Precision, Recall, F1 Score, ROC AUC, Lift, and Incrementality
- Experience leveraging AI powered analytics tools and copilots
- 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
Full Job Posting
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.
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.
- Partner with business, product, marketing, and technology teams to identify opportunities where AI, machine learning, and advanced analytics can drive growth, engagement, retention, and operational improvements.
- Translate complex datasets, predictive model outputs, and AI generated insights into clear, commercially actionable recommendations for senior stakeholders.
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 and funnel optimization.
- Ability to evaluate model performance using metrics such as Precision, Recall, F1 Score, ROC AUC, Lift, and Incrementality.
- Experience leveraging AI powered analytics tools and copilots to automate data exploration, reporting, forecasting, and anomaly detection.
- 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.
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