Senior Data Analyst

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 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.

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.