Business Analyst

Coforge

Hyderabad

Hybrid

INR 700,000 - 1,100,000

Full time

14 days+

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Job summary

Coforge in India is seeking an AWM Domain Analyst to support transition of application and data projects by understanding existing applications, processes, and data flows. You will bridge business and technology teams, documenting rules and ensuring accurate source-to-target mappings.

Role involves tracing data lineage, validating data quality, and collaborating with data engineers, SMEs, and QA teams to deliver comprehensive documentation and transition plans.

Qualifications

  • Strong understanding of Asset & Wealth Management processes and data concepts.
  • Hands-on experience with source-to-target data mapping and data analysis.
  • Strong SQL skills and relational database knowledge.
  • Experience with data warehouses and ETL/ELT pipelines.
  • Ability to document business rules and data dependencies.

Responsibilities

  • Understand AWM business processes and key entities across systems.
  • Conduct functional walkthroughs and document objectives, inputs, and outputs.
  • Analyze source-to-target mappings and define transformation rules.
  • Trace data lineage from source to target platforms and identify gaps.
  • Prepare functional specs, data dictionaries, and transition documents.
  • Support data validation, profiling, and discrepancy resolution using SQL.
  • Collaborate with SMEs, data architects, engineers, and QA teams.

Skills

AWM domain knowledge
SQL skills
Data mapping
Documentation

Job description

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.
  • Strong 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.
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