Senior Data Science Consultant – Cards Marketing Analytics Job Doha area,Baladīyat ad Dawḩah Qatar,Business

Job Description & How to Apply Below

Predictive Modelling & Advanced Analytics

Develop predictive models to identify customer targeting opportunities, increase card spending, improve retention and reduce customer churn.
Build and optimize propensity, response, churn, cross-sell and upsell models.
Apply statistical modelling and machine learning techniques to identify customer behaviour and spending patterns.
Perform model validation, performance monitoring and optimization.
Translate model outputs into actionable business recommendations.

2. Customer Segmentation & Portfolio Analytics

Develop customer segmentation strategies for credit and debit card portfolios.
Identify high-value, low-engagement and high-potential customer segments.
Analyze customer spending behaviour, transaction patterns and product usage.
Identify opportunities to improve card activation, utilization, spend growth and customer profitability.
Support customer lifecycle management strategies across acquisition, activation, engagement, retention and attrition.

3. Cards Marketing & Campaign Analytics

Analyze marketing campaign performance across customer segments, products, channels and transaction behaviour.
Develop data-driven customer targeting strategies for card marketing campaigns.
Measure campaign effectiveness, conversion rates, incremental spend and return on investment (ROI).
Design test-and-learn frameworks, including A/B testing, control groups and Champion/Challenger strategies.
Provide recommendations to improve campaign effectiveness, customer response and overall portfolio performance.
Support personalized marketing, offer optimization and next-best-action strategies.

4. Business Intelligence & Data Analysis

Analyze large banking datasets, including customer profiles, card transactions, spending behaviour and campaign history.
Develop analytical dashboards, reports and management presentations.
Identify business trends, portfolio opportunities and potential revenue growth areas.
Monitor key performance indicators and provide insights to senior management.
Present complex analytical findings in a clear and commercially meaningful manner.

5. Business Strategy & Stakeholder Management

Work closely with marketing, product, cards business, risk and technology teams to understand business requirements.
Translate business objectives into analytical use cases and data science solutions.
Provide analytical recommendations to improve customer engagement, card spending and portfolio profitability.
Collaborate with business stakeholders to implement data-driven marketing and portfolio strategies.
Ensure analytical solutions are practical, explainable and aligned with business objectives.

Business Knowledge – Mandatory

Strong understanding of the credit and debit card business, including card acquisition, issuance, activation, usage, spend growth, retention and attrition.
Knowledge of card revenue drivers, including interchange income, interest income, annual fees, customer profitability and transaction economics.
Understanding of customer lifecycle management, portfolio growth strategies, cross-selling, upselling and customer engagement.
Knowledge of card marketing campaigns, customer targeting, offer optimization, promotional strategies and campaign ROI.
Ability to identify business opportunities through customer behaviour, spending patterns, transaction trends and portfolio performance.
Understanding of card portfolio KPIs, including active cards, spend per card, transaction volume, activation rates, utilization, attrition and customer lifetime value.
Knowledge of banking products, customer segmentation, credit risk, portfolio profitability and risk-adjusted growth strategies.
Ability to translate business requirements into analytical solutions and actionable recommendations that…

10+ Years work experience