Job Description

Company Description
WNS (Holdings) Limited (NYSE: WNS) is a digital-led business transformation and services company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS' core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly and lead resiliently in a world defined by disruption.
Our purpose: Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact.
3 4 13
Global Headquarters Continents Countries
700+ 66000+ 65
Clients Employees Delivery Centers

Overview
Analytics Function Overview
The Analytics function focuses on enabling next-generation Business Intelligence through AI-driven insights, self-service analytics, and conversational reporting capabilities for leading global pharmaceutical organizations. The function partners closely with Commercial, Medical, Market Access, and Executive stakeholders to scale insight delivery while reducing manual reporting effort.
The AI & Self-Service Analytics team plays a critical role in operationalizing AI-assisted analytics, natural language interaction with data, and persona-aligned self-service datasets within enterprise BI platforms such as Tableau, Power BI, and cloud data platforms.
Roles and Responsibilities Summary
Design and deliver AI-enabled reporting and self-service analytics solutions aligned to pharma commercial and medical use cases
Support implementation of conversational BI capabilities using tools such as Power BI Copilot, Tableau Pulse, and in-house LLM frameworks
Translate business questions into AI-assisted insight workflows (e.g., variance explanation, trend detection, anomaly identification)
Build and curate persona-specific self-service datasets for Analysts, Data Scientists, and Advanced Business Users
Collaborate with BI Architects and Semantic Layer teams to ensure AI readiness of data products (grain, metadata, KPI logic)
Configure and validate natural language query patterns mapped to governed KPIs and dimensions
Develop automated KPI narratives and explanations to support faster decision-making
Partner with business stakeholders to identify high-value AI use cases for reporting and analytics (e.g., field performance insights, payer mix shifts, launch signals)
Support UX design for AI interactions, including prompt design, guided queries, and explainability views
Ensure AI outputs are transparent, explainable, auditable, and compliant with governance guidelines
Contribute to training materials and enablement content for AI-driven and self-service analytics adoption
Take ownership of assigned deliverables and support program milestones under guidance of Group Managers / Leads
Core Competencies
Technical Skills
Power BI (Copilot, AI visuals, semantic models)
Tableau (Tableau Pulse, metric insights, guided analytics)
SQL for analytics-ready data validation
Understanding of semantic layers, KPI definitions, and governed datasets
Exposure to cloud data platforms (Snowflake, Databricks preferred)
Familiarity with LLM concepts, embeddings, prompt design, and AI explainability
Domain & Functional Knowledge
Working knowledge of pharma commercial analytics (sales performance, field effectiveness, market access, omnichannel)
Understanding of common pharma datasets (CRM activity, sales, claims, payer, digital engagement)
Ability to frame business questions into AI-assisted analytics patterns
Behavioral & Professional Skills
Strong stakeholder communication (verbal and written)
Structured problem-solving and analytical thinking
Ability to work with cross-functional global teams (business, IT, data governance)
Attention to detail with a quality-focused mindset
Adaptability to evolving AI and analytics platforms
Collaborative and team-oriented approach
Must-Have Skills
Power BI (including Copilot exposure) or Tableau (including Tableau Pulse)
SQL and analytical data validation skills
Strong communication and documentation skills
Experience supporting self-service analytics or advanced BI users
Understanding of KPI-driven reporting and semantic models
Problem-solving and structured thinking
Good-to-Have Skills
Exposure to conversational analytics or NLP-based querying
Experience working with AI explainability or insight generation features
Knowledge of pharma therapy areas or launch analytics
Familiarity with Databricks, Python, or AI notebooks
Experience supporting global / multi-region BI programs
Qualifications
Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, Statistics, or related quantitative field
Strong academic background with exposure to analytics, data, or AI coursework

Skills Required