
Virtusa
Data Analyst VAT
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 27/05/2026
Job overview
Date posted
13/04/2026
Location
Dubai, United Arab Emirates
Salary
AED 15,000 - 20,000 per month
Compensation
Salary only
Job description
The Data Analyst VAT role in Dubai within the banking and financial services sector focuses on understanding business requirements and translating them into structured data mapping and analysis solutions that define data flow from raw source systems to customized data marts, dashboards, and APIs for data consumption. The role is responsible for ensuring that data is collected, transformed, modeled, and made accessible for analytical and reporting purposes, supporting business decision-making and insights generation from large and complex datasets. The position requires strong expertise in SQL, Oracle, Apache Spark, Python, and data visualization tools such as Power BI, Business Objects, and Crystal Reports, along with a strong understanding of data warehousing and ETL processes. The role involves working with structured and semi-structured data formats including JSON, Parquet, Avro, and XML, and applying data modeling techniques such as schema design, partitioning, and performance tuning. It includes leveraging cloud platforms such as Azure and AWS for data storage, compute, and integration services, as well as working with Databricks for large-scale data processing. The Data Analyst is expected to have strong banking domain knowledge across retail, business, and wholesale banking products and contribute to end-to-end data product deployment, reporting, MIS analysis, and analytics workflows. The role also requires knowledge of data governance, quality assurance, and compliance best practices, as well as solid computer science fundamentals including data structures and algorithms relevant to performance-critical data systems. The position plays a key role in building robust, scalable, and efficient data pipelines and analytical frameworks within a regulated banking environment in Dubai.
Required skills
Key responsibilities
- Analyze business requirements and design data mapping and data flow solutions from raw source systems to data marts, dashboards, and APIs
- Develop and maintain data pipelines using SQL, Oracle, Apache Spark, Python, and related data engineering tools
- Design, implement, and optimize data warehousing and ETL processes to ensure efficient data transformation and storage
- Build and maintain data models including schema design, partitioning strategies, and performance tuning for scalable analytics
- Develop and support data visualization solutions using Power BI, Business Objects, and Crystal Reports for business reporting and insights
- Work with structured and semi-structured data formats including JSON, Parquet, Avro, and XML for data integration and processing
- Leverage cloud platforms such as Azure and AWS for data storage, compute, and integration services in data workflows
- Support end-to-end data product deployment including reporting, MIS analysis, and analytics delivery within banking environments
Experience & skills
- Demonstrate at least 3 years of experience as a Data Analyst or in a similar role within banking data environments
- Possess strong experience in SQL, Oracle, and data querying and processing technologies
- Show expertise in Apache Spark, Databricks, and distributed data processing frameworks
- Demonstrate proficiency in Python with additional experience in SAS or R as an advantage
- Exhibit experience with data visualization tools such as Power BI, Business Objects, or Crystal Reports
- Show strong understanding of data warehousing concepts, ETL processes, and data pipeline development
- Demonstrate experience working with Azure and AWS cloud platforms including data integration and storage services
- Possess strong knowledge of banking retail, business, and wholesale products and data structures