Data Analyst VAT

Virtusa; Dubai; On-site; AED 150,000 - 210,000; Full time

Job summary

Virtusa in the United Arab Emirates (Dubai) seeks a Data Analyst to understand business requirements and provide data mapping and analysis that form the blueprint of data flow from raw source systems to customized data marts, dashboards, and APIs for data consumption.

The role emphasizes data collection, transformation, and accessibility for analytical purposes, with collaboration across cross-functional teams in banking, retail, and wholesale product areas.

Qualifications

• Understanding business requirements and mapping data to blueprints.
• Experience in developing data pipelines and data infrastructure in Azure or cloud environments.
• Knowledge of data governance and quality assurance best practices.

Responsibilities

• Understand business requirements and map data to blueprints.

Skills

Analytical skills

Problem solving

Banking knowledge

Attention to detail

Communication

Time management

SQL

Python

Spark

Databricks

Azure

AWS

Data modeling

JSON/Parquet/XML

Tools

Power BI

Business Objects

Crystal Reports

Azure

Databricks

Job description

As a data analyst your main role is understanding business requirements and provide data mapping and analysis that forms the blueprint of data flow from raw source systems to a customized data mart dashboards or any other API required for data consumption. You will play a crucial role in the data management process ensuring that data is collected transformed and made accessible for analytical purposes. Your expertise in data technologies will enable the organization to make informed decisions and derive valuable insights from large datasets.

Core Skills

• Strong analytical and problem-solving skills to effectively design data solutions.
• Banking Retail Business & Wholesale Product Knowledge and understanding
• Attention to detail and a commitment to delivering high-quality work.
• Excellent communication and teamwork skills to collaborate with cross-functional teams.
• Ability to manage time effectively and prioritize tasks in a dynamic work environment.

Technical Skills

• Strong data querying and processing skills using SQL Oracle Apache Spark or similar language
• Data Visualization tools Power BI Business Objects Crystal or similar tool
• Data Warehousing and ETL concepts

Competencies

• Expert-level proficiency in SQL Python with SAS/R/Spark as plus
• Deep understanding of distributed data processing frameworks particularly Apache Spark.
• Experience with cloud platforms (Azure AWS) including Object storage compute networking and data integration services.
• Familiarity with data modeling techniques including schema design partitioning and performance tuning.
• Experience working with structured and semi-structured data formats (e.g. JSON Parquet Avro XML).
• Knowledge of data governance quality assurance and compliance best practices.
• Solid grasp of core computer science fundamentals (e.g. data structures search algorithms queues) relevant to performance-critical data engineering.
• Proven experience as a Data Analyst or in a similar role with at least X years of hands-on experience in developing data pipelines and managing data infrastructure within Azure.
• 3 years of experience in banking data
• Databricks and SQL experience required
• Experience in reporting analysis and MIS teams preferred
• Worked on end-to-end Data Product deployment

Required Experience

IC