Role: Senior Data Analyst

Experience: 6-8 Years

Location: All EXL Location

Work Mode: Hybrid

POSITION SUMMARY

- 6+ years of professional experience as a Data Analyst with positive 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.

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 efficient 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.

📌 Senior Data Analyst (Pune)
🏢 EXL
📍 Pune