Pune, Maharashtra, India
Information Technology
Full-Time
Virtusa
Overview
We are seeking a seasoned Senior Data Analyst to support a customer in their data transformation journey The customer is transitioning from an on premises SQL Server SSIS based Enterprise Data Warehouse to a Databricks platform on AWS This role involves close collaboration with business stakeholders to analyze legacy Excel based reports and help modernize reporting capabilities within the new cloud based data framework
Key Responsibilities
Engage with business stakeholders to understand existing reporting needs primarily driven by Excel based legacy mechanisms
Perform detailed discovery and gap analysis to identify reporting logic data sources and transformation rules
Translate business requirements into functional and technical specifications for integration into the new reporting framework
Collaborate with data engineers and developers to enhance and extend the reporting platform using tools like SSIS and MS SQL Server while supporting migration to Databricks on AWS
Support the design and validation of enriched data pipelines and reporting outputs aligned with business expectations
Understand and interpret complex SQL queries and stored procedures to support data analysis and transformation
Write complex source to target mapping requirements and own the mapping document for the modules assigned
Participate in Agile Scrum ceremonies and contribute to sprint planning backlog grooming and user story creation
Document data mappings business rules and reporting logic to ensure traceability and maintainability
Required Skills And Qualifications
10 plus years of experience as a Data Analyst
Experience working with Excel based legacy reports and translating them into scalable automated reporting solutions
Proficiency in SSIS MS SQL Server and SQL for data analysis and ETL support
Strong ability to understand and work with complex SQL queries and stored procedures
Experience in writing and managing source to target mapping documents
Familiarity with Agile Scrum methodologies and tools like Jira
Excellent communication and stakeholder engagement skills especially in ambiguous or evolving requirement scenarios
Key Responsibilities
Engage with business stakeholders to understand existing reporting needs primarily driven by Excel based legacy mechanisms
Perform detailed discovery and gap analysis to identify reporting logic data sources and transformation rules
Translate business requirements into functional and technical specifications for integration into the new reporting framework
Collaborate with data engineers and developers to enhance and extend the reporting platform using tools like SSIS and MS SQL Server while supporting migration to Databricks on AWS
Support the design and validation of enriched data pipelines and reporting outputs aligned with business expectations
Understand and interpret complex SQL queries and stored procedures to support data analysis and transformation
Write complex source to target mapping requirements and own the mapping document for the modules assigned
Participate in Agile Scrum ceremonies and contribute to sprint planning backlog grooming and user story creation
Document data mappings business rules and reporting logic to ensure traceability and maintainability
Required Skills And Qualifications
10 plus years of experience as a Data Analyst
Experience working with Excel based legacy reports and translating them into scalable automated reporting solutions
Proficiency in SSIS MS SQL Server and SQL for data analysis and ETL support
Strong ability to understand and work with complex SQL queries and stored procedures
Experience in writing and managing source to target mapping documents
Familiarity with Agile Scrum methodologies and tools like Jira
Excellent communication and stakeholder engagement skills especially in ambiguous or evolving requirement scenarios
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