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

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

AI & Self-Service Analytics – Lifescience/Pharmaceuticals

Key skills