Key skills
PythonSQLPerformance OptimizationStakeholder ManagementCommunication
About this role
Role Overview
- 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
Tech Stack
- Python
- SQL