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Senior Data Analysis with 4+ years in data validation and business intelligence.
Result-driven and detail-oriented Analyst with 4+ years of professional experience in data validation and operations. Aiming to leverage a robust foundation in enterprise SQL platforms, Python, and Business Intelligence tools to transition into a dedicated Data Analyst position. Seeking to deploy advanced data modeling, data cleansing, systematic ETL pipelines, and strategic reporting to turn complex raw data ecosystems into structured, actionable business intelligence. Highly motivated professional with strong experience in analyzing large datasets, executing core verification operations, and delivering data-driven insights to improve accuracy. Proficient in designing and optimizing relational database queries using Oracle SQL, PL/SQL, and working with modern NoSQL architectures like MongoDB to extract, transform, and load (ETL) corporate data assets. Proven capability in building functional data models and translating complex database schemas into interactive visualizations and metric dashboards utilizing Power BI and Advanced Excel. Demonstrated track record in technical data validation, defect tracking via Atlassian JIRA, root-cause discrepancy reporting, and maintaining high processing precision within strict SLA-driven financial domains.
Wells Fargo
Data Validation Analyst / Associate Operations Processor
April 1, 2022 – Present
Chennai, Tamil Nadu, India
Sutherland
Customer Service Representative / Operations Support
July 1, 2021 – December 1, 2021
Chennai, Tamil Nadu, India
Financial Credit Risk Analytics & Automated Data Validation Staging
October 1, 2024 – March 1, 2025
Structured and engineered a custom data-staging model to automate the ingestion and cleanup of legacy customer account restriction flags. Designed structured PL/SQL scripts and database validations to replace manual, error-prone cross-verification procedures, cutting down standard audit cycle times. Conceptualized and launched an interactive Power BI Dashboard integrated with internal database tables to dynamically report turn-around time (TAT) trends, tracking errors, and performance KPIs directly to senior business leads.
Business Intelligence & Dashboard Development Certification
Unknown
June 1, 2026 – Present
Oracle SQL & Database Management Specialization
Unknown
June 1, 2026 – Present
Data Analysis Course Completion
Tech Data Community
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in a large financial institution (Wells Fargo) and a project involving internal risk operations suggests an understanding of corporate environments and regulated industries. The project diversity, though limited to one detailed entry, shows initiative in automating processes and delivering actionable insights. The listed soft skills align well with collaborative and results-driven team cultures. The certifications in Data Analysis, Oracle SQL, and Business Intelligence indicate a proactive approach to skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong critical thinking, problem-solving, and time management skills, particularly under strict compliance timelines. Their experience in stakeholder management and KPI reporting, along with cross-functional technical documentation, indicates a good operational fit. The '100% Quality Award' and 'Top Performer' achievements highlight a commitment to accuracy and efficiency, which are crucial for a senior data analysis role.