Enterprise Data and Analytics – System Analyst

Key Responsibilities:

• Lead end-to-end delivery of enterprise data and analytics solutions across the full SDLC

• Analyse business and regulatory requirements and translate them into scalable solution designs

• Collaborate with business stakeholders and technical teams to define functional and technical specifications

• Ensure data quality, governance, lineage, and compliance across data platforms

• Review and validate test strategies, functional test cases, and data validation approaches

• Support implementation, production issues, root cause analysis, and continuous improvements

• Drive innovation in data platforms, including data discovery, cataloguing, governance, and AI enablement

• Work on structured, semi-structured, and unstructured data, including NLP-driven analytics use cases

Requirements:

• 8–12 years of experience in System Analysis / Data & Analytics roles

• Strong experience in data platforms, data architecture, and analytics solutions

• Good banking domain knowledge, especially in Financial Crime / AML / Risk Analytics

• Strong experience in SQL and Python (preferred)

• Experience with Big Data technologies (Spark, Hive, Hadoop, etc.)

• Knowledge of data governance, data quality, and regulatory reporting

• Experience with Informatica tools (PowerCenter, IDQ, etc.) is an advantage

• Exposure to NLP, unstructured data, or knowledge graph concepts is a plus

• Strong analytical, problem-solving, and stakeholder management skills