Job Description

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

We are looking for a mid-senior analytics professional with 4+ years of experience in retail analytics to lead campaign analytics across international retail markets. This role emphasizes campaign management, analytical thinking, data architecture understanding, and stakeholder ownership. You will oversee campaign measurement, ensure data flow integrity, guide reporting outcomes, and translate analytics into business-ready insights.Roles and ResponsibilitiesOwn the end-to-end campaign analytics process, from targeting strategy and execution tracking to performance reporting and insights. Act as the analytics point of contact for campaigns, ensuring alignment between business objectives, data flows, and reporting outcomes. Review and validate campaign data, KPIs, and metrics to ensure accuracy, consistency, and business relevance. Guide the design and monitoring of data pipelines and architectures, ensuring smooth data movement across systems. Partner with engineering and data teams to review logic, transformations, and automation without direct low-level coding ownership. Drive process improvements and automation initiatives to improve turnaround time and reporting quality. Lead client-facing reporting and dashboards, ensuring insights are clearly articulated and decision-ready. Manage multiple campaigns and priorities to ensure timely delivery and stakeholder satisfaction. Provide analytical guidance and review support to junior team members.Skills and KnowledgeDemonstrate a strong understanding of campaign analytics, performance measurement, and targeting frameworks. Possess working knowledge of Azure Databricks, Power BI, Azure Data Factory, SQL, and Excel, with the ability to understand and review data logic and flows. Be able to interpret and validate PySpark and Python-based transformations without being the primary developer. Have experience with data pipeline architecture, dependencies, and monitoring. Exhibit a strong analytical mindset with the ability to convert data into clear business narratives. Show excellent stakeholder communication and presentation skills, along with proven experience in project ownership, prioritization, and team coordination.Preferred QualificationsCandidates should hold a B.E., B.Tech, M.C.A, M.Tech, or M.B.A degree.Role Focus AreasThe role focuses on end-to-end campaign process ownership, targeting strategy and measurement, campaign reporting and insights, data architecture and pipeline oversight, and stakeholder and client management.Campaign Channels SupportedThe role supports email campaigns such as EMOD and Single Subject Email (SSE); display and native advertising including display ads and native ads; video and connected TV channels such as online video (OLV), Connected TV (CTV), and Roku; retail and commerce campaigns including Targeted Digital Coupon (TDC), Product Listing Ads (PLA), Coupon Listing Ads (CLA), and Targeted Onsite Ads (TOA); social and platform campaigns across Meta, Snapchat, and Pinterest; audio platforms including Pandora and other audio channels; and mobile engagement through push notifications.

Qualifications

B.E., B.Tech, M.C.A, M.Tech, or M.B.A degree.