Lead business analysis for financial data initiatives: gather and document requirements, design and review logical/physical data models, validate solutions, support deployments, investigate data quality, and coordinate with technology teams on data lineage and completeness.
Responsibilities
- Analyze data requirements and identify disparate data sources required for consolidation and distribution.
- Document functional specifications and coordinate delivery of the same with technology team.
- Review logical and conceptual data models in alignment with business requirements.
- Work with the stakeholders to understand and gather requirements and produce business specifications
- Validate solution implementations and ensure they meet business and functional requirements.
- Provide production deployment support and investigate data quality issues.
- Work with various technology leads to ensure the gaps in the data completeness or accuracy are bridged.
Qualifications
- Subject matter expertise in financial industry - wholesale loans /lending business OR Capital Markets or Finance or Risk Reporting
- Experience with database and SQL is required.
- Excellent documentation, analytical skills to produce process flow diagrams, business modelling, and functional design.
- Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis.
- Experience with Data tracing/ Lineage efforts
- Knowledge of logical and physical data model
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
