Role & Experience: Data Analyst (4 to 6 YoE)

Location - Bangalore

Summary:

Key Skills: Strong SQL, Python, Pyspark, Jupyter Notebook, Agile / Jira / Confluence, Microsoft Excel, Banking Domain knowledge, Exposure to any cloud (GCP / AWS / Azure) would be a plus

:

Must-Have:

● 4+ years of qualified 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

📌 Lead Assistant Manager (Bengaluru)
🏢 EXL
📍 Bengaluru