Chirag Jain

Business Analyst with 3.5+ years of experience in financial services and technology, specializing in data analysis, SQL, and Agile delivery. Proven expertise in requirement gathering, stakeholder management, and end-to-end project execution across fintech, compensation and banking domains. Strong understanding of financial products, risk analytics, and system workflows, with experience supporting data-driven decision-making and process optimization.

Data Analyst at Fedex Inc (2025-08 – Present)

• Developed a Power BI vendor scorecard dashboard (RLS, automated refresh) to improve visibility into DDC vendor performance, enabling multi-KPI tracking and driving a 72% improvement in monthly targets and 27% increase in revenue opportunities.
• Built a Python-based automation for contract seller processing, eliminating manual workflows and reducing operational processing time by 98.5%.

Software Engineer at Merkle Inc (2021-06 – 2024-05)

As a Business Analyst and Technical PM, bridging the gap between business stakeholders and technical teams. Created Business Requirement Documents (BRD) and managed User stories on JIRA to guide implementation efforts, ensuring stakeholder alignment.

• Led requirement gathering and survey strategy design for a Retail Banking client using Qualtrics; crafted and scheduled customer centric surveys across touchpoints and visualized insights via Power BI, enabling a 55% reduction in churn.
• Built an automation app to fetch SQL data, perform ETL processes and generate periodic Power BI dashboards for a fast food chain; collaborated with analysts and QA to implement Automated testing, driving 4x increase in consumer insights through Data Analysis and a 4.7/5 client satisfaction score.
• Implemented a Python-based middleware for a Fintech Payments client to perform PII masking on Qualtrics survey responses; designed a unique 16-digit anonymization logic and delivered the project using Agile methodology, resulting in a 34% revenue boost.
• Functioned as Technical BA to deliver a secure data transfer web app for Multinational clients; created FRDs with flowcharts and wireframes, and oversaw Angular based web development on AWS Serverless—enabling 40+ client acquisitions.
• Strategized and co-developed a Machine learning-based K-Means clustering model for a large NBFC to segment users by risk and profession, resulting in a 67% conversion rate on new product launches.

PGPM / MBA in Business Analytics, Finance – Great Lakes Institute of Management (2024-05 – 2025-04)

Bachelor of Engineering in EXTC – Thadomal Shahani Engineering College (2017-07 – 2021-04)