About This Role
The Data Analyst converts business problems into analytical solutions, contributing to decision-making and process improvements within the BFSI domain. This role involves close collaboration with product stakeholders and technical leads to deliver data-driven solutions and insights.
Responsibilities
- Convert business problems into analytical problems and identify appropriate solutions
- Demonstrate overall business understanding of the BFSI domain
- Provide high-quality analysis and recommendations for business problems
- Ensure efficient project management and timely delivery
- Conceptualize data-driven solutions for multiple businesses/regions to support decision-making
- Drive process improvements and operational efficiency
- Use data insights to improve customer outcomes
- Understand business requirements from product/project stakeholders and break them into user stories and tasks
- Map business entities to technical attributes with clearly defined transformation logic
- Deliver assigned tasks within defined timelines while maintaining quality
- Collaborate closely with team leads to ensure smooth project delivery
- Understand and define solution architecture, discussing pros and cons with the team
- Participate in brainstorming sessions and recommend architecture/design improvements
- Work with other technical leads to review architecture and design
- Keep stakeholders informed about project status, risks, issues, and task progress
Requirements
- Graduate in Computer Science, Data Science, or a related field
- 4+ years of professional experience as a Data Analyst with strong decision-making, analytical, and problem-solving skills
- Strong knowledge of SQL, PySpark, Python, with Banking Domain experience (Credit & Lending)
- Working knowledge of Big Data frameworks such as Hadoop, Hive, and Spark
- Hands-on experience with query languages such as SQL, HQL, and Spark SQL for data exploration
- Experience in Data Mapping to join multiple datasets across multiple data sources
- Experience preparing documentation: Data Mapping, Subsystem Design, Technical Design, Business Requirements
- Exposure to: Logical to Physical Data Mapping, Data Processing Flow, Data Consistency Measurement
- Experience in Data Asset Design/Build, collaborating with data model and asset generation teams to identify critical data elements and reusable data assets
- Understanding of ER Diagrams and Data Modeling concepts
- Exposure to: Data Quality Validation, Data Management, Data Cleaning, Data Preparation, Data Schema Analysis
- Experience working in an Agile environment
