
Virtusa
Lead Data Analyst
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 05/06/2026
Job overview
Date posted
21/04/2026
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Job description
The Lead Data Analyst – Banking role based in Dubai, United Arab Emirates is responsible for understanding business requirements and providing data mapping and analysis that forms the blueprint of data flow from raw source systems to customized data marts, dashboards, and APIs required for data consumption. The role plays a critical function in the data management process, ensuring data is collected, transformed, and made accessible for analytical purposes while enabling informed decision-making through large dataset analysis. Responsibilities include conducting Business Discovery Sessions to understand project requirements, working with internal system support teams, DBA teams, and MIS teams to translate requirements into desired data marts and reports, and preparing data mapping documentation for multiple data platform layers including raw (bronze), EDM (silver), and project-specific (gold). The role supports project phases alongside data engineers, data modelers, QA testers, and Power BI developers, and collaborates with developers, analysts, and stakeholders to ensure solutions meet business requirements. The position requires strong data querying and processing using SQL, SAS, Oracle, Apache Spark, and similar technologies, along with data visualization using Power BI, Business Objects, and Crystal Reports. The role involves working with data warehousing and ETL concepts, distributed data processing frameworks such as Apache Spark, cloud platforms including Azure and AWS, and structured and semi-structured data formats including JSON, Parquet, Avro, and XML. The Lead Data Analyst also ensures data governance, quality assurance, compliance best practices, and applies data modeling techniques including schema design, partitioning, and performance tuning while leveraging computer science fundamentals such as data structures, search algorithms, and queues to support performance-critical data engineering initiatives.
Required skills
Key responsibilities
- Conduct Business Discovery Sessions to understand business requirements, translate functional needs into technical data requirements, and define data mapping and data flow architecture from source systems to data marts, dashboards, and APIs
- Collaborate with system support teams, DBA teams, and MIS teams to translate business requirements into data marts, reports, and analytical outputs aligned with business objectives
- Prepare data mapping documentation across multiple data layers including raw bronze layer, EDM silver layer, and project-specific gold layer for development of enterprise data platforms
- Support project delivery phases by working closely with data engineers, data modelers, QA testers, and Power BI developers to ensure successful implementation and delivery
- Develop and execute complex data querying and data processing using SQL, Python, SAS, Oracle, and Apache Spark across large datasets
- Collaborate with developers, analysts, and stakeholders to ensure solutions align with business requirements, data governance standards, and compliance policies
- Work with data visualization tools including Power BI, Business Objects, and Crystal Reports to deliver dashboards and reporting solutions
- Ensure adherence to data governance, quality assurance, data modeling, performance tuning, and distributed data processing best practices across cloud platforms including Azure and AWS
Experience & skills
- Possess minimum 7 years of experience as Data Analyst working in banking or financial services environments
- Demonstrate expert-level proficiency in SQL and Python with working knowledge of SAS, R, or Apache Spark
- Demonstrate strong data querying and processing skills using SQL, SAS, Oracle, Apache Spark or similar technologies
- Possess experience with data visualization tools including Power BI, Business Objects, and Crystal Reports
- Demonstrate strong understanding of Data Warehousing and ETL concepts with hands-on experience in data platform development
- Demonstrate experience with cloud platforms including Azure and AWS with knowledge of object storage, compute, networking, and data integration services
- Demonstrate knowledge of data modeling techniques including schema design, partitioning, and performance tuning
- Demonstrate experience working with structured and semi-structured data formats including JSON, Parquet, Avro, and XML with knowledge of data governance, quality assurance, and compliance best practices