Headline

Results-Driven Data & Operations Analyst | Financial Data Processing | Power BI & Excel | Workflow Optimization | Ex-S&P Global

About

I spent nearly 3 years inside one of the world's most data-intensive financial institutions — S&P Global — where bad data costs billions. As a Data Operations & Transformation Analyst, I owned end-to-end financial data pipelines: validating LEI codes, resolving entity discrepancies, mapping complex ownership structures, and ensuring high-volume datasets met institutional accuracy standards before hitting downstream systems. What I actually did: Processed and validated large-scale financial entity datasets (LEI mapping, entity verification, deduplication) Identified and resolved structural data inconsistencies across multi-source financial records Supported data quality management workflows within fast-paced, high-accountability environments Applied secondary research methodologies to verify entity information against regulatory and market sources What makes me different: MBA (Finance) + hands-on data ops experience = I understand both the business context behind data and the operational mechanics of keeping it clean. I don't just validate data — I understand why it matters to the businesses consuming it. Currently: Upskilling in SQL, Power BI, for analytics — targeting roles in Data Analysis, Financial Data Operations, Business Intelligence, and AI-assisted data workflows. 📩 Open to opportunities | rafeejasana@gmail.com

Location

India

Work experience

Data operations analyst at S&P Global, Mar 2021 - Dec 2023 · 2 yrs 10 mos, Hyderabad, S&P Global (via IHS Markit acquisition) Data Operations & Transformation Analyst March 2021 – January 2024 | Hyderabad, India S&P; Global – Data Operations Analyst Hyderabad, India | March 2021 – January 2024 •Executed validation and processing of 1,000+ global financial entity records with 99%+ operational accuracy. • Mapped and verified LEI data for 500+ global firms and investment funds, enhancing data integrity and reliability. • Conducted regulatory and secondary research using 10+ public databases, financial disclosures, and internal systems to ensure data integrity. • Managed end-to-end sub-account mapping and resolved 200+ duplicate or inconsistent entity records across complex financial datasets. • Streamlined validation procedures and reduced operational inconsistencies by 20% through structured quality checks. • Investigated and structured complex entity relationships including M&A; mappings, hierarchy linking, and investor associations. • Optimized financial data operations through effective utilization of the Orion platform, supporting high volume daily processing activities. •Coordinated with cross-functional teams across operations and quality control functions to deliver 100% on time completion of high priority tasks.

Data Transformation Analyst at S&P Global, Mar 2021 - Dec 2023 · 2 yrs 10 mos, Hyderabad, Telangana, India

Data transformation analyst at IHS Markit, Mar 2021 - Dec 2023 · 2 yrs 10 mos, Hyderabad, Telangana, India, placed in IHS MARKIT as a data transformation analyst in eEntity Management

Education

Master of Business Administration - MBA, Na, CMR technical campus