Mumbai, Maharashtra, India
Results-driven financial analyst with over 3 years of experience, specializing in data analysis, financial reporting, and business intelligence. Proficient in leveraging SQL, Python, and Tableau for effective data visualization and decision support, I excel in variance analysis and the preparation of comprehensive financial reports. My tenure at Accenture and Tata Consultancy Services has honed my skills in data validation, reconciliation, and governance, ensuring high accuracy and compliance with recognized standards. I have successfully created and presented actionable dashboards using Power BI and Excel, driving strategic insights for cross-functional teams. My commitment to advanced analytics and predictive modeling empowers organizations to enhance operational efficiencies and informed decision-making. Engaged in Agile methodologies, I collaborate effectively on projects to optimize data-driven performance.
Analyzed lease and financial datasets to uncover trends, discrepancies, and performance insights, facilitating data-driven decision-making within established SLAs. - Executed data validation, reconciliations, and variance analysis of revenue, expenses, budgets, and forecasts, ensuring high data accuracy and integrity. - Prepared and transformed analytical datasets from contract and financial data, utilizing Python for data handling and automation to enhance process efficiency. - Developed comprehensive reports and dashboards using Excel and Power BI, presenting complex data as actionable business intelligence for cross-functional teams. - Maintained robust data governance and audit-ready documentation, collaborating with FP&A and business teams in Agile environments through JIRA and Confluence for effective issue tracking and reporting enhancements.
- Analyzed and interpreted financial and investment datasets from financial statements and market disclosures, ensuring accuracy in revenue recognition and period-end reporting. - Resolved data queries efficiently through structured data analysis and validation techniques, maintaining a high level of data integrity. - Conducted comprehensive reviews of annual, quarterly, and regulatory financial reports, validating large data volumes using platforms such as Bloomberg for consistent reporting and analytics. - Supported revenue analysis and forecasting by performing earnings estimates, backfill processes, and system-to-system data reconciliations, leveraging advanced Excel and SQL-style analytical approaches. - Executed variance and trend analysis, comparing actual results with estimates and historical data to deliver insights that informed management reporting and strategic decision-making. - Acted as a Quality Checker to ensure data governance, quality control, and audit readiness, maintaining thorough documentation throughout processes. - Collaborated with cross-functional teams utilizing workflow and Agile tools like JIRA, while managing complex financial data platforms including Bloomberg (BQL, DEEP, Earnings Estimates).
Analyzed and interpreted financial statements in compliance with IFRS and US GAAP, supporting accurate revenue recognition and period-end financial reporting. Conducted detailed reviews of annual, quarterly, and semi-annual reports, prospectuses, and regulatory filings, ensuring data accuracy and consistency across financial systems. Supported revenue analysis and forecasting through earnings estimates, backfill processes, and system-to-system reconciliations, improving reliability of reported financial data. Performed variance analysis by comparing actual results against estimates and historical data, contributing insights for management reporting and decision-making. Ensured adherence to internal controls and audit standards by acting as a Quality Checker for new joiners and maintaining high data quality standards. Tools & Systems :Bloomberg (BQL, DEEP, Earnings Estimates), JIRA, DPEP, UWFB, JFLO, GIG,MS Excel, MS Office Suite