Job Overview
Senior Fintech Data Analyst – Digital Banking Intelligence & Advanced Analytics
Location: Dubai, United Arab Emirates
Industry: Fintech | Digital Banking | Data Analytics | Financial Intelligence
Employment Type: Full-Time | Permanent
About the Opportunity
An internationally recognized fintech banking institution is seeking an accomplished Senior Fintech Data Analyst – Digital Banking Intelligence & Advanced Analytics to transform enterprise data into actionable intelligence that drives strategic decision-making, operational excellence, customer engagement, and sustainable business growth. This is a high-impact analytical role designed for professionals who thrive in data-driven environments and possess a passion for uncovering meaningful insights from complex financial ecosystems.
As digital banking rapidly evolves through artificial intelligence, embedded finance, open banking, real-time payment infrastructures, predictive analytics, and intelligent customer engagement, the organization is investing heavily in enterprise data capabilities to strengthen innovation, improve operational efficiency, and enhance financial performance. The successful candidate will play a central role in developing advanced analytical solutions that influence executive strategy, optimize customer experiences, improve profitability, and support enterprise-wide transformation initiatives.
You will collaborate with executive leadership, product managers, software engineers, business analysts, cybersecurity specialists, fraud investigators, compliance professionals, data engineers, AI teams, and business stakeholders to deliver enterprise-grade analytics supporting one of the region’s fastest-growing fintech banking ecosystems.
Key Responsibilities
- Analyze large-scale financial, transactional, operational, and customer datasets to identify trends, opportunities, and strategic business insights.
- Develop executive dashboards, interactive reports, and enterprise performance scorecards using modern business intelligence tools.
- Perform customer segmentation, behavioral analysis, profitability analysis, retention modeling, and revenue optimization studies.
- Monitor digital banking adoption, payment activity, customer engagement, and operational performance metrics.
- Collaborate with Data Engineering teams to optimize enterprise data pipelines and analytics infrastructure.
- Build predictive models supporting customer growth, product performance, fraud detection, and operational planning.
- Support executive decision-making through comprehensive analytical reports and strategic recommendations.
- Validate data quality, integrity, consistency, and governance standards across multiple banking platforms.
- Partner with Product, Finance, Marketing, Operations, Risk, Compliance, and Technology teams to identify business improvement opportunities.
- Conduct root cause analysis for operational challenges and performance anomalies.
- Present analytical findings to executive leadership using compelling data storytelling techniques.
- Mentor junior analysts while promoting enterprise analytical excellence.
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Finance, Computer Science, Information Systems, Business Analytics, or a related discipline.
- Master’s degree in Data Analytics, Business Intelligence, Data Science, or Finance is highly desirable.
- Minimum 6–9 years of experience in data analytics within fintech, banking, digital payments, or financial services.
- Strong analytical reasoning, business acumen, and problem-solving capabilities.
- Experience working with enterprise-scale financial datasets.
Technical Expertise
- SQL
- Python
- R
- Microsoft Power BI
- Tableau
- Microsoft Excel (Advanced)
- Snowflake
- Databricks
- Apache Spark
- ETL Processes
- Data Warehousing
- Data Visualization
- Predictive Analytics
- Machine Learning Fundamentals
- Financial Data Modelling
- Statistical Analysis
- REST API Data Integration
- Git
- Jupyter Notebook
Professional Competencies
- Advanced Analytical Thinking
- Financial Intelligence
- Strategic Decision Support
- Business Storytelling
- Data Governance
- Cross-Functional Collaboration
- Critical Thinking
- Executive Communication
- Continuous Improvement
- Innovation Mindset
- Leadership Potential
- Results Orientation
Employee Benefits
- Highly competitive tax-free salary
- Annual performance-based bonus
- Premium international healthcare coverage
- Housing allowance
- Annual airfare for self and eligible dependents
- Retirement savings programme
- Sponsored postgraduate education and globally recognized analytics certifications
- Hybrid working flexibility
- Leadership development programmes
- Participation in international fintech and analytics conferences
- Defined career progression towards Lead Data Analyst, Analytics Manager, Head of Business Intelligence, and Chief Data Officer roles
Are you excited about this opportunity?
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Apply now by clicking on the “Apply Now” button below.
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