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.
Job Description –
Customer Analytics Lead
Experience: 6+ years
Domain: Retail / Customer Analytics preferred; candidates from other analytics domains with strong relevant experience may also be considered.
Strong analytical and problem-solving skills, with the ability to understand business challenges, interpret complex data and translate findings into actionable business recommendations.
Experience in customer analytics, including customer segmentation, loyalty, retention, customer journeys, purchasing behaviour, campaign effectiveness and customer value management.
Strong hands-on experience in SQL and Python, with the ability to analyse large datasets, identify trends and uncover business opportunities.
Good understanding and practical application of statistical analysis and basic machine learning techniques
Ability to independently structure ambiguous business problems, define analytical approaches and deliver end-to-end analytics solutions.
Experience in developing POCs, analytical frameworks and innovative solutions to address business challenges and drive measurable business impact.Strong business acumen with the ability to assess revenue opportunities, customer behaviour changes, campaign performance and commercial impact.
Experience in managing and mentoring analysts, overseeing day-to-day delivery and collaborating with Data Science, Data Engineering and other cross-functional teams.
Strong stakeholder management skills, with the ability to engage directly with clients, understand requirements, manage expectations and influence business decisions.
Excellent communication and presentation skills, with the ability to create compelling business presentations, communicate insights to senior stakeholders and confidently recommend strategic actions.
Preferred Skills: Advance SQL, Retail / FMCG domain knowledge, Loyalty / customer analytics, AWS / Redshift and exposure to AI-driven analytics solutions.
Graduate or above
Job description provided by WNS.
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