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Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

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  • 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
  • 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 Modeling 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.
  • SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit & Lending domain knowledge.
  • Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
  • Retail Credit / Traded Credit knowledge - applications will be considered.

Good To Have

  • BFSI Domain knowledge
  • Data Visualization - Tableau or Qlik Sense
  • Exposure to Hadoop, Hive and ETL.
  • Working knowledge of any cloud services like AWS or GCP or Azure.
  • Any relevant certifications would be a plus.

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