Job 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

- Responsibilities: Ability to convert business problem to an analytical problem and then finding pertinent solutions
- Overall business understanding of BFSI domain




- Providing high-quality analysis and recommendations to business problems.
- Efficient project management and delivery
- Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate productive decision making
- Focus on driving efficiency gains and enhancement of processes.
- Use of data to improve customer outcomes through the provision of insight and challenge

- Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.

- Mapping of business entities to technical attributes with the logic for transformation defined clearly.

- Be accountable for the delivery of the tasks in the defined timelines with good quality.

- Working with the team leads closely and contribute to the smooth delivery of the project.

- Understand/define the architecture and discuss the pros-cons of the same with the team.

- Involve in the brainstorming sessions and suggest improvements in the architecture/design.

- Working with other teams leads to getting the architecture/design reviewed.

- Keep all the stakeholders updated about the project, task status, risks, and issues if any.

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

📌 Senior Data Analyst (India)
🏢 EXL Service
📍 India