Virtusa
Data Analyst
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 31/01/2026
Job overview
Date posted
17/12/2025
Location
Dubai, United Arab Emirates
Salary
AED 15,000 - 20,000 per month
Compensation
Salary only
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
31/01/2026
Job description
The Data Analyst role is responsible for designing and delivering high-quality data solutions within a banking environment, supporting retail, business, and wholesale banking products. The role requires strong analytical and problem-solving capabilities, expert-level data querying and processing skills, and the ability to work with large-scale, distributed data processing frameworks. The position involves working with structured and semi-structured data across modern data platforms, applying data warehousing and ETL concepts, and producing insights through data visualization tools. The role also emphasizes data governance, quality assurance, and compliance best practices while collaborating closely with cross-functional teams in a dynamic environment.
Required skills
Key responsibilities
- Design and implement data solutions using strong analytical and problem-solving techniques
- Query, process, and analyze large datasets using SQL, Oracle, Apache Spark, or similar technologies
- Develop data visualizations and dashboards using tools such as Power BI, Business Objects, or Crystal Reports
- Apply data warehousing and ETL concepts to support analytics and reporting requirements
- Work with distributed data processing frameworks, particularly Apache Spark
- Analyze structured and semi-structured data formats including JSON, Parquet, Avro, and XML
- Collaborate with cross-functional teams to deliver high-quality analytical outputs
- Ensure data quality, governance, and compliance standards are met
- Apply data modeling techniques including schema design, partitioning, and performance tuning
- Utilize cloud platforms such as Azure and AWS for data storage, compute, networking, and integration
Experience & skills
- Demonstrate strong analytical and problem-solving skills
- Exhibit expert-level proficiency in SQL and Python, with SAS, R, or Spark as additional advantages
- Show deep understanding of distributed data processing frameworks, particularly Apache Spark
- Demonstrate experience working with cloud platforms such as Azure and AWS
- Exhibit familiarity with data warehousing and ETL concepts
- Show experience with data visualization tools such as Power BI, Business Objects, or Crystal Reports
- Demonstrate understanding of data modeling, schema design, and performance tuning
- Exhibit knowledge of data governance, data quality, and compliance best practices
- Demonstrate solid understanding of core computer science fundamentals relevant to data engineering
