SHIVA
Professional Summary
Pricing & Financial Analyst with 3+ years of experience delivering insurance pricing, FP&A support, and audit-ready financial reporting. Proven hands-on experience with SQL and Python to build ETL and anomaly-detection pipelines, Snowflake and Redshift for enterprise reconciliation, and Power BI/Tableau for management reporting. Experienced across financial services and enterprise reporting engagements in pricing, claims and premium analysis, loss-ratio monitoring, forecasting, and revenue optimization. Strong record of automating validation and reporting workflows to improve data quality and speed decision cycles while maintaining SOX and U.S. GAAP controls. Comfortable owning end-to-end pricing analyses, producing forecasts and management dashboards, and working with underwriting, actuarial, finance and compliance partners to operationalize insights.
Technical Skills
Work Experience
- Conducted portfolio-level insurance pricing analyses using SQL to evaluate premium trends, claim experience and customer segments that informed pricing adjustments and portfolio strategy.
- Built Python data pipelines to ingest, transform and normalize large-scale policy and claims datasets, accelerating analysis turnaround and reducing manual preparation effort.
- Created Power BI dashboards to track premium growth, claim frequency and pricing effectiveness, enabling monthly pricing reviews and executive summaries.
- Validated financial datasets in Snowflake using complex SQL queries and reconciliation routines to ensure accuracy of downstream reporting.
- Reconciled reporting extracts from Amazon Redshift to downstream enterprise systems using SQL, reducing reconciliation exceptions and improving release readiness.
- Improved premium pricing accuracy by 15% through segmentation-driven model adjustments and underwriting rule changes, contributing to over $2M in revenue optimization.
- Maintained SOX-compliant documentation, traceability matrices and validation evidence for pricing and reporting processes to support internal and external audits.
- Designed and implemented scalable financial reporting frameworks using Power BI and Power Query to produce auditable, repeatable management reports.
- Automated 300+ financial data validation test cases using SQL and Python scripts to accelerate recurring report preparation and improve calculation accuracy.
- Developed SQL analyses and Excel reconciliation templates to validate business logic, transformation rules and aggregations across enterprise data sources.
- Performed API and cross-system data validation to identify and resolve mapping and transformation issues that reduced reconciliation exceptions.
- Created management-facing dashboards and execution summaries in Tableau to translate financial data into clear findings for stakeholders.
- Partnered with engineering, finance and compliance to implement CI/CD-integrated reporting pipelines and controls, achieving 98%+ data quality for recurring outputs.
- Produced monthly forecasts and variance analyses for FP&A using Excel and SQL to support budgeting and executive decision-making.
Education
Certifications
Achievements
- Improved pricing accuracy and revenue optimization: Delivered a 15% improvement in insurance premium pricing accuracy and contributed to over $2M in revenue optimization through segmentation, model tuning and pricing rule changes.
- Reporting automation and cycle-time reduction: Reduced financial reporting cycle time by automating validation and reporting workflows, eliminating manual steps and improving timeliness of management reporting.
- High data quality via automated validation: Achieved 98%+ data quality through automated validation and anomaly-detection pipelines and validated 500+ critical financial data scenarios for executive reporting.
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