Ch. Shanthi

Business Intelligence Analyst

PwC • Fulltime

Jan 2026 - Present • 5 mos

Working as a Business Intelligence Analyst within the Credit Risk Strategy team, partnering closely with senior leadership to provide data-driven insights and performance reporting. My work supports strategic decision-making by monitoring key business and portfolio metrics across North American markets. I am responsible for developing and maintaining executive-level reporting used by leadership teams to evaluate application volumes, approval rates, risk grade distributions, portfolio performance, delinquency trends, charge-offs, losses, and customer behavior. I regularly analyze large datasets to identify emerging trends, business opportunities, and areas requiring attention. A significant part of my role involves creating reports and dashboards that provide visibility into credit performance and portfolio health. I collaborate with stakeholders across risk, operations, and sales teams to ensure reporting accurately reflects business needs and supports decision-making. Through detailed analysis, I have contributed to identifying opportunities that improved portfolio performance and approval rates. My responsibilities include data extraction, transformation, validation, trend analysis, dashboard development, KPI monitoring, and executive reporting. I work extensively with SQL, Tableau, Snowflake, Excel, Jira, and Confluence to deliver accurate, timely, and actionable insights that help leadership make informed business decisions

Data Analyst

Quintero & Partners • Fulltime

Oct 2024 - Jan 2026 • 1 yr 3 mos

Worked as a Data Analyst supporting banking and fintech clients through data analysis, reporting, and business intelligence initiatives. My role focused on helping clients improve reporting processes, enhance data accuracy, and gain meaningful insights from customer and account data. I developed and maintained Tableau dashboards and SSRS reports used by business stakeholders to monitor account performance, customer activity, and operational metrics. Using SQL Server Management Studio, I created and optimized SQL queries to extract, transform, and validate data from multiple sources. One of my key contributions was automating account tracking and reporting processes that were previously maintained manually in Excel. By consolidating data from multiple tables and building automated reporting solutions, I improved efficiency while reducing the risk of human error. I also developed customized account filtering solutions, enhanced existing reports based on client requirements, and resolved data quality issues affecting reporting accuracy. Throughout my tenure, I collaborated directly with clients and business teams to gather requirements, investigate issues, create technical solutions, and deliver actionable insights. My work helped improve operational efficiency, reporting reliability, and stakeholder confidence in business data.

Decision Scientist II

Musigamy • Fulltime

Jun 2022 - Aug 2024 • 2 yrs 2 mos

Worked as a Decision Scientist II delivering end-to-end analytics and Business Intelligence solutions for large-scale enterprise clients. My responsibilities included data analysis, dashboard development, reporting automation, customer analytics, anomaly detection, and business performance monitoring. I designed and developed interactive Power BI dashboards that tracked critical business metrics, including Daily Active Users (DAU), Weekly Active Users (WAU), Monthly Active Users (MAU), customer lifecycle performance, user engagement, monetization trends, and marketing campaign effectiveness. These solutions enabled stakeholders to make data-driven decisions and monitor business performance efficiently. I managed analytics initiatives involving datasets with more than 2 million users, performing advanced SQL analysis to identify trends, customer behaviors, anomalies, and growth opportunities. I also developed automated monitoring systems using Power Automate, reducing manual effort and improving response times for critical business events. Additionally, I contributed to dashboard migration initiatives, helping move over 100 client dashboards from a legacy analytics platform to a more cost-effective solution. This effort improved operational efficiency while generating significant cost savings for the client. My work required strong collaboration with clients, project managers, and technical teams to translate business requirements into analytical solutions. I utilized SQL, Power BI, Excel, Azure DevOps, Power Automate, PowerShell, Git Bash, and data visualization techniques to deliver insights that improved business performance, customer engagement, and decision-making effectiveness.