Sanjana Papareddy
Data Analyst at S&P Gloabal | Analyst |
- Role
- Data Analyst at S&P Global
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Sanjana Papareddy
As a Data Analyst at S&P Global, I leverage my expertise in finance and data analytics to drive insights that support strategic business decisions. With a BBA degree and a background that spans sales, product development, and content creation, I bring a unique blend of skills and experiences to the table.My current role at S&P Global has deepened my financial acumen and strengthened my data analysis capabilities, which I am eager to apply to a future career in data science. I am passionate about developing innovative products that meet user needs and drive business success.I’m excited to connect with professionals in the data driven roles and explore opportunities to apply my diverse skill set to create impactful products.
Experience
Data Analyst
Feb 2023 — Present
Data Acquisition: Orchestrated the acquisition of raw data from diverse primary and secondary sources to enhance the information ecosystem.Data Validation: Validated and processed data entries, achieving a 98% accuracy rate in IHS Markit\'s databases, significantly improving data integrity.Strategic Insights: Provided subject matter expertise to commercial teams, leveraging data analysis and interpretation to enhance strategic decision-making.Data Transfer & Quality Assurance: Facilitated the transfer of data from internal and external sources to the data collection application, effectively identifying and rectifying discrepancies and duplicates to maintain data uniformity.Process Improvement: Implemented analytical changes that reduced data inconsistencies by 20%, while assigning tasks to researchers for further data enhancement.Data Integration: Identified and integrated new data points from various sources, including websites, industry publications, and SEC filings, contributing to a 25% increase in data relevance.Documentation & Standards: Communicated content specifications and guidelines to team members, fostering precision and adherence to data quality standards.Discrepancy Resolution: Resolved data discrepancies and missing information, enhancing overall data quality by 30%.Efficiency Enhancement: Established streamlined processes for tracking and collecting new information, leading to a 15% increase in data enrichment efficiency.Research Development: Contributed to the development of standards, benchmarks, and specifications, continuously improving databases and research methodologies.Collaboration: Maintained open communication channels, providing regular updates on project status and fostering a collaborative and informed work environment.
Education
New Horizon College of Engineering
Bachelor of Business Administration - BBA, Finance
ICFAI Foundation for Higher Education, Hyderabad
Master of Business Administration - MBA, Finance
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