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EXL Linkedin · Posted 14d ago

Senior Data Analyst

India

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Indexed description

Must-Have

  • 5+ years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
  • SQL, Pyspark, Python with Banking Domain knowledge - Credit & Lending.

Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.

  • Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
  • Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
  • Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
  • Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
  • Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
  • Understanding of ER Diagram and Data Modelling concepts
  • Exposure to Data quality validation
  • Exposure to Data Management, Data Cleaning and Data Preparation
  • Exposure to Data Schema analysis.
  • Exposure to working in Agile framework.
  • Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
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