Data Analyst

Responsibilities & Skills

• Gather client requirements, build technical designs and translate complex data into business insights.
• Support Azure migration, enhance scalability and centralize reporting for enterprise clients.
• Build and optimize SQL queries and ETL pipelines for enterprise reporting and BI analysis.
• Automate reconciliation processes and develop parameterized/ad hoc reports for self-service BI.
• Collaborate with clients and QA teams to ensure accuracy, usability, and performance of analytical datasets.
• Implement role-based security and data governance compliance for enterprise reports.
• Develop and optimize stored procedures and queries to support operational and analytical systems.
• Project &
  
  Collaboration:
  
  Agile (Kanban, SAFe), Jira, stakeholder engagement, requirements gathering, project scoping
• Databases & Data Modeling: T-SQL, SQL Server, DB2, Azure SQL, Data Warehouse architecture
• ETL / Data Pipelines:
  Informatica Power Center, Control-M
• Programming & Tools: VBA (basic), .NET, Power Shell, API testing
• Version Control & CI/CD:
  Git Hub, Tortoise SVN, Continuous Integration methodologies
• Data Governance & Security:
  Role-based access, encryption, dynamic masking, data quality management
• BI & Reporting:
  Power BI, SSRS, Microsoft Excel