Data Analyst

Virtusa helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.

• Proven, strong experience working strictly as a Data Analyst and/or Data Modeler in enterprise environments.
• Hands-on expertise in relational and dimensional data modeling (Star/Snowflake schemas).
• Proficiency in data modeling tools such as ERwin, ER/Studio, PowerDesigner, or similar.
• Expert-level SQL programming skills, including analytical functions and query optimization.
• Deep understanding of data warehousing, data lakes, and lakehouse concepts.
• Hands-on experience with databases such as SQL Server, PostgreSQL, Snowflake, Oracle, or Redshift.
• Exceptional ability to translate chaotic business needs into structured data requirements and source-to-target mappings.
• Experience working in Agile/Scrum environments.
• Experience using version control tools (Git).

• Work strictly as a Data Analyst and/or Data Modeler in enterprise environments.
• Perform relational and dimensional data modeling (Star/Snowflake schemas) using tools such as ERwin, ER/Studio, PowerDesigner, or similar.
• Write expert-level SQL queries, including analytical functions and query optimization.
• Apply knowledge of data warehousing, data lakes, and lakehouse concepts from a data structure perspective.
• Navigate and query databases such as SQL Server, PostgreSQL, Snowflake, Oracle, or Redshift.
• Translate chaotic business needs into structured data requirements and source-to-target mappings.
• Work in Agile/Scrum environments and use version control tools (Git).