Data Analyst

Responsibilities

• Manage and analyze large volumes of daily financial data
• Design, implement, and continuously improve data quality frameworks
• Perform data validation, reconciliation, and monitoring
• Resolve Level 1 & Level 2 data quality issues; escalate complex issues to Data Science teams
• Use SQL and Python for data analysis, scripting, and development
• Build and maintain dashboards and reports for business insights
• Work with large-scale datasets (100TB+) covering 100K+ global companies
• Apply statistical techniques to monitor data accuracy and anomalies
• Collaborate with cross-functional teams and share insights with stakeholders

Requirements

• Strong understanding of data quality, validation, and reconciliation concepts
• Advanced SQL skills (complex queries, joins, performance optimization)
• Proficiency in Python for data analysis and scripting
• Experience with dashboarding and reporting tools
• Ability to work in large-scale / big data environments
• Working knowledge of statistics for data monitoring and validation
• Strong communication and stakeholder management skills
• Experience handling data from multiple and diverse sources

Qualifications

• Bachelor’s degree in BCA / MCA / Engineering
• CGPA: 8+
• Prior experience in Finance / FinTech preferred
• Exposure to financial datasets is a plus