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Apply for  job with Virtusa in Dubai, United Arab Emirates. Virtusa helps business move forward, faster by combining deep industry expertise and frictionless technology delivery.

<html><body>\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&#44; dashboards or any other API required for data consumption. You will play a crucial role in the data management process&#44; ensuring that data is collected&#44; transformed&#44; 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.Understanding the project requirements&#44; by conducting Business Discovery Sessions  Work with internal teams like system support teams&#44; DBA and MIS teams to translate the existing requirements into the desired mart and reports  Prepare data mapping documents&#44; needed for development of various layers of the data platform (raw – bronze&#44; EDM – silver&#44; project specific – gold)  Support during various phases of the projects as needed by the data engineers&#44; data modelers&#44; QA testers and Power BI developers  Collaborating with other developers&#44; data analysts&#44; and stakeholders to ensure that the software meets the needs of the business or organization  Technical Skills: o Strong data querying and processing skills using SQL&#44; SAS&#44; Oracle&#44; Apache Spark or similar language o Data Visualization tools – Power BI&#44; Business Objects&#44; Crystal or similar tool o Data Warehousing and ETL concepts  Competencies: o Expert-level proficiency in SQL&#44; Python with SAS/R/Spark as plus o Deep understanding of distributed data processing frameworks&#44; particularly Apache Spark. o Experience with cloud platforms (Azure&#44; AWS) — including Object storage&#44; compute&#44; networking&#44; and data integration services. o Familiarity with data modeling techniques&#44; including schema design&#44; partitioning&#44; and performance tuning. o Experience working with structured and semi-structured data formats (e.g.&#44; JSON&#44; Parquet&#44; Avro&#44; XML). o Knowledge of data governance&#44; quality assurance&#44; and compliance best practices. o Solid grasp of core computer science fundamentals (e.g.&#44; data structures&#44; search algorithms&#44; queues) relevant to performance-critical data engineering</body></html>

Lead Data Analyst - Banking

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