WNS

AI & Self-Service Analytics – Lifescience/Pharmaceuticals

WNS

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

CloudSQLTableau

About the role

  • 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

Requirements

  • 5-9 Years of Experience
  • 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
  • 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)
  • Strong stakeholder communication (verbal and written)
  • Structured problem-solving and analytical thinking
Benefits
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI-enabled reportingself-service analyticsconversational BISQLKPI definitionsdata validationprompt designautomated KPI narrativesanomaly identificationtrend detection
Soft Skills
stakeholder communicationstructured problem-solvinganalytical thinking