Data Analyst ERP Project

Virtusa; Dubai; On-site; AED 320,000 - 480,000; Full time

Job summary

Virtusa in Dubai, United Arab Emirates, is seeking a data engineering professional to interpret project requirements and translate them into scalable data models and reporting solutions. You will work with cross-functional teams, including system support, DBA, and MIS, to build robust data platforms and deliver insights through BI tools.

Key responsibilities include data mapping for multi-layer data architecture (raw to gold) and supporting data engineers, modelers, QA, and Power BI developers

Qualifications

• Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language.
• Expert-level proficiency in SQL and Python; knowledge of SAS/R/Spark is a plus.
• Experience with data warehousing concepts and ETL would be beneficial.

Responsibilities

• Understand project requirements through Business Discovery Sessions and translate them into data models and reports.
• Collaborate with system support, DBA, MIS, and Power BI developers to implement data platforms.
• Prepare data mapping documents for raw, bronze, EDM, silver, and gold data layers.
• Support data engineers, data modelers, QA testers, and analysts throughout project phases.

Skills

SQL

Python

SAS/R/Spark

Tools

Power BI

Business Objects

Crystal Reports

Job description

Understanding the project requirements by conducting Business Discovery Sessions
Work with internal teams like system support teams DBA and MIS teams to translate the existing requirements into
the desired mart and reports
Prepare data mapping documents needed for development of various layers of the data platform (raw bronze
EDM silver project specific gold)
Support during various phases of the projects as needed by the data engineers data modelers QA testers and Power
BI developers
Collaborating with other developers data analysts and stakeholders to ensure that the software meets the needs of
the business or organization

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

Required Experience:

IC