Description

Key Responsibilities and Duties

• Analyze complex datasets to identify trends, patterns, and insights that support business objectives
• Translate business requirements into technical specifications for data solutions
• Perform data profiling, Source to Target mapping, and validation to ensure accuracy and consistency
• Support the implementation and maintenance of data governance frameworks and standards
• Ensure data quality through regular audits, validation processes, and adherence to data management policies
• Document data flows, data lineage, and system integrations across upstream and downstream systems
• Collaborate with stakeholders to define and maintain data definitions, business rules, and metadata
• Help design and develop ETL (Extract, Transform, Load) processes to support data integration initiatives
• Work with cloud based data platform and relational databases, SQL queries, and data modeling techniques to support analytical needs
• Troubleshoot data-related issues and provide technical support for production systems
• Participate in testing activities by supporting QA resources with test case development, execution, and defect tracking
• Partner with business stakeholders, IT teams (ETL, QA & Production support)
• Communicate findings, insights, and recommendations clearly to both technical and non-technical audiences
• Participate in cross-functional project teams to support enterprise and vertical initiatives
• Contribute to continuous improvement efforts by identifying opportunities for automation and process optimization
   

Educational Requirements
 

• University (Degree) Preferred

Work Experience
 

• 5+ Years Required; 7+ Years Preferred

Physical Requirements
 

• Physical Requirements: Sedentary Work

Career Level 8IC

Required Skills -
 

• 5 or more years' of experience in SQL and relational database management systems.
• 3 or more years' of experience with data warehouse concepts and data modeling concepts and practices
• 2 or more years' of experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
• 2 or more years' of experience in ETL processes and data integration tools
• Experience in Microsoft Excel (Advanced formulas, pivot tables, and data manipulation)
• Experience in data governance activities (Business Glossary, Data catalogs, source to target mappings) and exposure to Collibra is preferred.
• Experience of Reference data management (tools like EDM / DRM preferred).

Desired Skills :
 

• An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional modeling, and meta data modeling practices.
• FinancialAsset Management domain knowledge is preferred.
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI, or similar platforms)
• Usage of MYGAIT and prompting

Key Skills

Education

Bachelor's degree