Data Analyst

Accountabilities:

• • Manage, analyze, and monitor large volumes of daily financial data, ensuring accuracy, consistency, and completeness.
  • Design, implement, and continuously improve data quality, validation, reconciliation, and monitoring frameworks.
  • Investigate and resolve Level 1 and Level 2 data quality issues, escalating more complex cases to specialized data teams when required.
  • Use advanced SQL and Python for data analysis, scripting, troubleshooting, and process improvement.
  • Build and maintain dashboards and reports that translate complex datasets into actionable business insights.
  • Apply statistical techniques to identify anomalies, monitor data accuracy, and strengthen data quality controls.
  • Work with large-scale datasets exceeding 100TB and covering more than 100,000 global companies.
  • Collaborate with internal teams and external stakeholders to understand data requirements, communicate findings, and share analytical insights.
  • Work with data originating from multiple and diverse sources while maintaining robust and scalable analytical processes.

  Requirements:

  • Bachelor’s degree in BCA, MCA, Engineering, or a related quantitative/technical discipline.
  • Strong understanding of data quality, validation, reconciliation, and data monitoring concepts.
  • Advanced SQL skills, including complex queries, joins, and query performance optimization.
  • Proficiency in Python for data analysis, scripting, and analytical problem-solving.
  • Experience with dashboarding and reporting tools and the ability to present data clearly.
  • Ability to work effectively with large-scale or big-data environments and complex datasets.
  • Working knowledge of statistics, particularly for data validation, monitoring, and anomaly detection.
  • Strong communication and stakeholder management skills, with the ability to explain analytical findings to different audiences.
  • Experience working with data from multiple sources and identifying inconsistencies or quality issues.
  • A CGPA of 8.0 or above is expected.
  • Previous experience in Finance or FinTech is preferred, while direct exposure to financial datasets is an advantage.

  Benefits:

  • Remote work opportunity, with the role also open to candidates based in Coimbatore or Bangalore.
  • Opportunity to work with large-scale financial and institutional investment datasets.
  • Exposure to advanced data quality, analytics, and big-data environments.
  • Opportunity to strengthen expertise in SQL, Python, statistics, dashboards, and financial data.
  • Cross-functional collaboration with data-focused and business stakeholders.
  • Growth opportunity within a fast-paced, technology-driven environment.