Chinni Krishna K
Lead Data Analyst
Hyderabad
Summary
Results-driven Lead Data Analyst with 22+ years of comprehensive experience across equity capital structure, dividend analytics, pricing analysis, and customer support operations. Proven expertise in financial data management, quality assurance, and process automation, delivering measurable business impact through advanced analytics and cross-functional collaboration. Skilled in SQL, Power BI, and MS Office with a track record of reducing operational costs, improving data accuracy, and driving revenue growth through strategic insights.
Overview
2026
2026
years of professional experience
1
1
Certification
1
1
Language
Work History
Customer Support Team
S&P Global Market Intelligence
07.2003 - Current
- Provided expert support for client queries on equity issuance, capital mix, market cap, and ownership structures
- Resolved complex issues related to dividend payment schedules, per share calculations, and corporate actions
- Maintained quality assurance across support processes and escalated data integrity issues to appropriate teams
- Trained and onboarded new team members on capital structure, dividends, and pricing support protocols
- Documented best practices and solutions in knowledge bases to improve team and client experience Key Achievements :
- Enhanced response time and resolution rate for complex equity, dividend, and pricing queries by streamlining support workflows
- Coordinated resolution of cross-team data issues, raising client satisfaction scores for financial dataset accuracy
- Authored comprehensive client education content and FAQs, reducing repeat inquiries on capital structure and dividend details
- Key Achievements : Enhanced response time and resolution rate for complex equity, dividend, and pricing queries by streamlining support workflows
Equity capital structure
S&P Global Market Intelligence
- Collected, validated, and analyzed equity data including company shares and market capitalization for public and private firms
- Performed quarterly updates and cleansing of equity datasets, ensuring completeness and alignment with financial statements
- Conducted detailed quality assurance checks, identified and resolved data errors, and developed validation toolkits for large datasets
- Built robust automated reports to track share volume changes, capitalization trends, and data anomalies
- Partnered with finance and risk teams to address and resolve data integrity issues within tight deadlines Key Achievements :
- Developed comprehensive quality assurance protocols that reduced equity data errors by 40% across core databases
- Automated market cap and shares analysis processes, resulting in faster and more reliable quarterly reporting
- Led cross-functional projects to enhance share and capitalization data reliability, earning recognition for exceptional data stewardship
- Key Achievements : Developed comprehensive quality assurance protocols that reduced equity data errors by 40% across core databases
Dividend & Pring data
S&P Global Market Intelligence
- Aggregated and analyzed dividend declarations, dividend per share (DPS), payout ratios, and yield performance across public equities
- Conducted pricing trend analysis, competitor benchmarking, and dynamic pricing strategy development for multiple product lines
- Performed comprehensive quality checks, root cause analysis, and error reduction initiatives across pricing models
- Built predictive models and dashboards to forecast price changes, track sales impact, and optimize profit margins
- Collaborated with data engineering teams to establish best practices for data governance and compliance Key Achievements :
- Reduced dividend data errors by 30% through rigorous implementation of quality checks and process automation
- Designed a dividend per share tracker enabling monthly monitoring of payout changes and timely anomaly detection
- Developed dynamic pricing strategy resulting in 15% quarterly revenue increase for key products
- Led pricing error reduction initiative that improved pricing accuracy by 18% and cut reporting time by 20%
- Key Achievements : Reduced dividend data errors by 30% through rigorous implementation of quality checks and process automation
Education
Masters of Business Administration - Finance
Osmania University
Hyderabad, India05.2001
Bachelor of Commerce - Commerce
Osmania University
Hyderabad, India 04.2001 -
Skills
Finance: Equity Capital Structure Analysis, Dividend Analytics, Market Capitalization, Corporate Actions, Financial Modeling
Data & Analytics: Data Quality Assurance, Data Governance, Process Automation, KPI Development, Dashboard Design, Reporting Automation, Data Visualization, Statistical Analysis
Leadership: Cross-functional Team Leadership, Client Relationship Management, Training & Development, Process Improvement, Stakeholder Communication, Cross-functional team coordination
Technical: SQL, Power BI, Python (Conceptual), MS Office Suite, Database Management, Financial modeling platforms
Customer Support: Problem-Solving and Critical Thinking, Patience and Resilience, Product and Service Knowledge, Multitasking Abilities
Operational Skills: Time Management and Organization, Attention to Detail, Adaptability and Flexibility, Collaboration and Teamwork
Certification
Certified lean facilitator (CLF)
Awards
Outstanding employee wards
Timeline
Customer Support Team
S&P Global Market Intelligence
07.2003 - Current
Bachelor of Commerce - Commerce
Osmania University
04.2001 -
Equity capital structure
S&P Global Market Intelligence
Dividend & Pring data
S&P Global Market Intelligence
Masters of Business Administration - Finance
Osmania University