Operational Analytics Lead

Johnson & Johnson Johnson & Johnson · Pharma · Bangalore, Karnataka, India

This role focuses on designing, developing, and implementing enterprise analytics, business intelligence, and AI-enabled solutions, including Generative AI and Copilot technologies. The candidate will work with data engineering, advanced analytics, and AI to transform data access, generate insights, and drive data-driven decisions for organizational performance management. Responsibilities include data sourcing, engineering, curation, developing data pipelines and models, building dashboards, performing advanced analysis, and partnering with leaders on AI use cases. The role emphasizes leveraging emerging AI and data technologies for productivity and decision-making, ensuring compliance with responsible AI standards, and promoting data governance.

What you'd actually do

  1. Design, develop, implement, and support enterprise analytics, business intelligence, and AI-enabled solutions using Tableau, Power BI, SQL, Python, and modern cloud technologies.
  2. Source, engineer, curate, govern, and serve data from multiple domains including project portfolio management, resource management, applications, finance, agile delivery, operational metrics, employee experience, surveys, and technology performance.
  3. Develop scalable and optimized data pipelines, data models, and analytical solutions that support enterprise reporting, performance management, and data-driven decision making.
  4. Define and evolve scalable data, analytics, and AI architectures that ensure reliability, maintainability, security, and long-term business value.
  5. Build intuitive dashboards, scorecards, reports, and self-service analytics solutions that clearly communicate organizational performance, trends, risks, and opportunities.

Skills

Required

  • Tableau
  • Power BI
  • SQL
  • Python
  • Cloud technologies
  • Data engineering
  • Business intelligence
  • Advanced analytics
  • AI/ML
  • Data modeling
  • ETL/ELT
  • Large-scale datasets
  • Executive-level communications

Nice to have

  • Microsoft Copilot
  • Copilot Studio
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval Augmented Generation (RAG)
  • Intelligent agents
  • Microsoft Fabric
  • Azure AI Services
  • Databricks
  • Azure Data Factory
  • Power Automate

What the JD emphasized

  • Advanced experience developing enterprise-scale dashboards and analytics solutions using Tableau and/or Power BI.
  • Strong SQL expertise, including performance optimization, data modeling, and data integration across multiple data sources.
  • Strong Python programming skills with experience supporting analytics, automation, machine learning, or AI use cases.
  • Experience working with enterprise cloud data platforms, data warehouses, ETL/ELT processes, and large-scale datasets.
  • Experience translating complex data into actionable business insights and executive-level communications.
  • Demonstrated ability to lead analytics initiatives and influence business decisions through data-driven recommendations.
  • Experience with Microsoft Copilot, Copilot Studio, Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent agents, or related AI technologies.

Other signals

  • design and implement end-to-end data, analytics, and AI solutions
  • leverage emerging AI technologies to drive measurable business impact
  • Design and deliver AI-enabled analytics solutions leveraging Generative AI, Copilot technologies, machine learning, natural language processing, intelligent search, and automated insight generation.