About this role

Must-Have:

●      4+ / 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

Must-Have:

●      4-6 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

Graduate in Computer Science, Data Science, or related field. 2-3 years of experience in data engineering or related field.

Frequently Asked Questions

Is the salary disclosed for the Data Analyst position at EXL Talent Acquisition Team?
The salary for this Data Analyst role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Analyst position at EXL Talent Acquisition Team located?
This Data Analyst role at EXL Talent Acquisition Team is based in Pune, Maharashtra, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Data Analyst position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Data Analyst job at EXL Talent Acquisition Team posted?
This Data Analyst position at EXL Talent Acquisition Team was posted on Jul 22, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Analyst
EXL Talent Acquisition Team
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