Assistant Manager-Research

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.

Key Responsibilities Candidate should have a proven ability to conduct secondary research across industries, markets, companies, and competitors. Manage both short-turnaround and strategic research projects while ensuring quality and timelines.Leverage databases such as Capital IQ, D&B Hoover’s, BoardEx, LinkedIn etc.Proactively interpret and scope business research request, also be able to visualize and communicate scope and timelines Analyze and visualize data using Excel, Power BI, and Tableau to generate actionable insights.Experience of managing 3-4 researchers, including work allocation, mentoring, quality reviews, and performance management.Drive process improvement through AI tools, automation, and research efficiency initiatives.Should be able to research and interpret secondary articles/whitepapers/thought pieces and infer and present relevant findings (e.g, trends, overview etc) in a structured presentable format.Partner with internal stakeholders and client teams to support business development, client engagements, and strategic initiatives.Excellent written and verbal communication skillsGood interpersonal skills along with attention to detailPrior experience supporting executive search or leadership advisory engagements is preferred.Technical Skills:Good knowledge of MS-Word, MS-Excel and MS-PowerPointExperience of Power BI and other analytical tools is preferredShift timings:Candidate should be flexible with rotational shifts (8AM to 5PM and 5:30PM to 2:30AM)