Yogesh Savirigana

• Partner with Product, Finance, Risk, and Operations to define and track product and portfolio KPIs across acquisition, servicing, and revenue performance. • Built SQL/Snowflake data pipelines integrating 10+ enterprise systems, achieving 99%+ data accuracy for product, risk, and revenue analytics. • Designed a unified product and revenue data model across Salesforce, billing, and finance systems, creating a single source of truth for leadership decision-making. • Developed executive dashboards in Power BI tracking delinquency, loan performance, underwriting efficiency, and operational health, used by 40+ stakeholders. • Automated recurring product and business reporting, eliminating 25+ hours/month of manual work and improving KPI refresh reliability by 30%. • Contributed to $1.2M in annualized cost savings by identifying process gaps, standardizing metrics, and supporting data-driven operational improvements. • Performed trend and performance analysis to support product planning, capacity forecasting, and headcount decisions, improving planning accuracy and resource allocation. • Implemented data quality, reconciliation, and validation checks, reducing data mismatches by 20% and production issues by 30%. • Translated business and regulatory requirements into 12 core product and business KPIs, and documented metric definitions to support consistent reporting and stakeholder alignment. • Owned end-to-end product and business metrics in partnership with Product and Engineering, helping define success metrics and performance tracking used in leadership reviews.

• Supported product and operations teams with SQL-driven analytics across claims, patient, and clinical datasets, reducing data mismatches by 30%+. • Automated data preparation and validation using Python (Pandas, NumPy), saving 20+ analyst hours/month and improving data accuracy by 18%. • Built Tableau dashboards for claims processing, eligibility, and service performance, improving decision turnaround time by 20%. • Worked with stakeholders to define product KPIs, success metrics, and reporting standards for payer and provider analytics use cases. • Defined and validated HL7/FHIR data pipelines, ensuring HIPAA-compliant integration between EMR/EHR systems and analytics platforms. • Executed 50+ audit and compliance checks, achieving 100% quarterly reporting accuracy for regulatory and payer reporting. • Created curated analytics datasets and data marts to support product performance tracking, quality reporting, and self-serve BI. • Set up data quality metrics (completeness, accuracy, timeliness), improving reliability of product and operational reporting by 15%.

• Delivered SQL- and Python-based analytics on ERP and operations data, maintaining 98% data accuracy across business reports. • Built and optimized 40+ SQL queries supporting product operations, supply chain performance, and management reporting. • Supported Power BI dashboards for operational and product performance tracking, reducing manual reporting errors by 15%. • Worked with business users to define KPIs, metric logic, and reporting requirements for performance dashboards. • Implemented data audits and quality checks that reduced inconsistencies by 10% across core reporting tables. • Built reusable SQL views and reporting tables, reducing redundant analytics development by 20%. • Documented metric definitions and reporting workflows, improving stakeholder trust and analytics adoption.