- 5 - 9 years of skilled 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.

📌 Data Analyst-Data Management and Analytics-Data Ops/Data Analyst (Pune)
🏢 EXL
📍 Pune