Role & responsibilities

Job Description: AWM Domain Analyst

Experience: 510 years
Domain: Asset & Wealth Management (AWM)

Role Overview

We are seeking an AWM Domain Analyst to support the transition of multiple application & data projects by establishing functional understanding of existing applications, business processes, and data flows. The role will bridge business and technology teams, ensuring effective knowledge transfer, accurate source-to-target data mapping, and comprehensive documentation of business rules and data dependencies.

Key Responsibilities

- Domain Understanding: Understand AWM business processes, key entities such as accounts, portfolios, holdings, transactions, and valuations, and their relationships across systems.
- Project Transition & KT: Conduct functional walkthroughs, document project objectives, processing logic, inputs, outputs, dependencies, and ensure effective knowledge transfer to receiving teams.
- Source-to-Target Mapping: Analyze source and target data structures, define field-level mappings, transformation rules, business logic, and data relationships.
- Data Lineage & Analysis: Trace data from source systems through ETL/ELT pipelines to target platforms, identifying dependencies, gaps, and undocumented logic.
- Functional Documentation: Prepare functional specifications, data dictionaries,



business rules, process flows, and transition documents.
- Data Validation: Support data profiling, reconciliation, quality checks, and investigation of mapping discrepancies using SQL.
- Stakeholder Collaboration: Work with business SMEs, data architects, data engineers, and QA teams to clarify requirements and resolve functional queries.

Required Skills

- Strong understanding of Asset & Wealth Management business processes and data concepts.
- Hands-on experience with source-to-target data mapping, data analysis, and functional documentation.
- Robust SQL skills and understanding of relational databases, data models, and ETL/ELT processes.
- Familiarity with data warehouses, data integration platforms, and data lineage.
- Ability to understand existing SQL scripts, transformation logic, and legacy system documentation.
- Excellent analytical, communication, stakeholder management, and knowledge transfer skills.

Expected Deliverables

- Project functional overview and knowledge transfer documents.
- Source-to-target data mapping specifications.
- Business rules catalogue and data dictionary.
- End-to-end data lineage and dependency documentation.
- Data validation requirements and transition readiness tracker.

📌 Business Analyst (Hyderabad)
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