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Senior Analyst with 3+ years in financial reporting & data analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented Data Analyst with 3+ years of experience in financial reporting, data analysis, and SLA-driven operations. Skilled in Power BI, Excel, and data validation with a strong focus on accuracy, compliance, and business insights aligned with financial processes.
Pondicherry University
MBA · Banking Technology
August 1, 2022 – June 30, 2022
Bharathidasan Govt.college
BSc computer science · Computer Science
August 1, 2017 – June 30, 2020
NielsenIQ
Senior Data Processing Analyst
January 23, 2023 – Present
India
Indian Bank – Summer Internship
June 24, 2026 – Present
Assisted in banking operations and customer support documentation.
Anti-Money Laundering using Artificial Intelligence
June 24, 2026 – Present
Academic Project: Anti-Money Laundering using Artificial Intelligence (Machine Learning Study).
Cyber Crime & IT Laws
Unknown
June 1, 2026 – Present
IoT & Robotics
Unknown
June 1, 2026 – Present
Business Analytics & Text Mining using Python
Unknown
June 1, 2026 – Present
Artificial Intelligence Workshop
Unknown
January 1, 2018 – Present
Cultural Fit Analysis
The candidate's experience at NielsenIQ as a Senior Data Processing Analyst aligns well with a data-driven organizational culture. Their academic project on Anti-Money Laundering using AI and certifications in Business Analytics & Text Mining using Python, Cyber Crime & IT Laws, and IoT & Robotics show a breadth of interest in technology and compliance, which could contribute positively to a culture of continuous learning and innovation. However, the project diversity is limited, with only one professional internship and one academic project, both in banking/finance and AI, which might indicate a focused but narrow range of experiences outside their primary role.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach, evidenced by quantifiable achievements in data accuracy, error reduction, and turnaround time. Their experience in SLA compliance and stakeholder support indicates a good operational fit for roles requiring meticulous data management and reporting. The psychometric test score is not provided, so a full assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible. The English test score of 75 suggests adequate communication clarity for professional settings.