Data Analyst

The role

The Data Analyst will work with large-scale financial datasets to ensure high data quality. This person will deliver actionable insights through dashboards and reports and build data quality frameworks.

What you will do

• 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
• Use SQL and Python for data analysis, scripting, and development
• Build and maintain dashboards and reports for business insights
• Work with large-scale datasets covering 100K+ global companies
• Apply statistical techniques to monitor data accuracy and anomalies
• Collaborate with cross-functional teams and share insights with stakeholders

Required qualifications

• Strong understanding of data quality, validation, and reconciliation concepts
• Advanced SQL skills
• 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
• Bachelor’s degree in BCA / MCA / Engineering
• CGPA: 8+

Nice to have

• Prior experience in Finance / FinTech
• Exposure to financial datasets

About the company

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk.