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Vrinda Global
Data Analyst - Internal Audit Center of Excellence (CoE)
Vrinda Global · posted 4 months ago
Mumbai
About the role
About the Role :
We are seeking a data-driven and analytical Data Analyst to join our Internal Audit Center of Excellence (CoE). In this role, you will bridge the gap between technology and risk management. You will be responsible for transforming raw operational and financial data into actionable insights, building automated exception reports, and designing continuous control monitoring systems to strengthen our audit frameworks.
Key Responsibilities :
Data Extraction & Query Design: Write, optimize, and maintain complex, high-performing SQL queries to extract data from core banking, retail lending, and financial data warehouses.
Audit Automation: Design and develop automated exception reports and continuous auditing scripts to identify control gaps, anomalies, and potential fraud risks.
Analytics & Statistics: Apply statistical models and data analysis techniques to spot trends, outliers, and systemic risks within the retail finance portfolio.
Dashboarding & Reporting: Build, maintain, and publish intuitive, interactive dashboards in Power BI for senior management and audit stakeholders.
Cloud & Infrastructure: Leverage Microsoft Azure cloud environments and data warehousing solutions to manage large-scale datasets efficiently.
Cross-Functional Collaboration: Partner with the core Internal Audit team to
understand audit universes, scope control testing, and back your findings with
robust data-backed evidence.
Technical Skills & Qualifications
SQL Expertise: Exceptional command over SQL (joins, subqueries, indexing,
window functions, and stored procedures).
Programming: Foundational to advanced knowledge of Python (specifically libraries like Pandas, NumPy etc)
Visualization: Hands-on experience or project-based exposure to Power BI.
Cloud & Data Architecture: Understanding of Microsoft Azure services and Data Warehousing (DWH) concepts (ETL, star/snowflake schemas).
Mathematics: Strong foundational knowledge of statistics and analytical methodologies.
Domain Knowledge:
A solid understanding or strong inclination to learn the Retail Finance / Retail Lending business (e.g., auto loans, personal loans, mortgages, loan lifecycles, and collections processes).
A stellar academic track record or capstone projects demonstrating your SQL and Python capabilities.
Certifications in Data Science, Power BI, or Azure (a major plus).
Strong problem-solving skills and a keen eye for finding the "needle in the haystack."
Excellent communication skills to explain technical findings