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WNS, part of Capgemini, is seeking a Business Analyst for a Finance Data platform project. You will gather requirements, document processes, and help design data models and reporting for enterprise finance data on Azure, Databricks and Snowflake.
The role involves collaborating with finance teams, defining data rules, and supporting testing and user adoption to deliver reliable finance reporting and automation.
WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.
Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.
We promise our employees to experience role clarity, coaching and mentoring, professional development and structured career path through our 5 people promises and keeping employee experience at the core. Experience the culture of Outperformance, engagement, celebration and enjoy wide variety of best in class benefits including free HMO coverage for self and dependent from Day 1; Also contribute to society through our WNS Cares Foundation, where you have the opportunity to support meaningful initiatives and make an impact in the community.
Business Analyst, Finance Data
We are looking for a Business Analyst with 4 to 5 years of experience to gather and document requirements for an enterprise finance data platform on Azure, Databricks and Snowflake. You will work with finance teams to understand current processes, reports and end-user computing tools, and turn them into clear requirements for the data, reporting and automation teams.