Business Intelligence Analyst

Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabling faster, better, connected insights.

Konovo provides healthcare organisations with access to over —the largest network of its kind globally. With a workforce of over 200 employees across 5 countries: India, Bosnia and Herzegovina, the United Kingdom, Mexico, we collaborate to support some of the most prominent names in healthcare. Our customers include over 300 global pharmaceutical companies, medical device manufacturers, research agencies, and consultancy firms.

As we transition from a service-oriented model to a product-driven platform, we are expanding our hybrid Bengaluru based team. We are looking for a Business Intelligence (BI) Analyst to contribute to our mission by partnering closely with BI leadership and cross-functional stakeholders to define core business metrics, translate data into insight, and support data-driven decision-making across the organization. The role involves leveraging existing data assets to deliver clear, trusted insights, with an emphasis on data storytelling, direct stakeholder support, and end-user engagement.

Apply now if you want to be a strategic partner in the BI process where your perspective helps refine recommendations, elevate data storytelling, and define how data drives decisions at scale.

This hybrid role requires alignment with global stakeholders and operates on a fixed shift schedule from either 2:00 PM – 11:00 PM IST or 6:30 PM – 3:30 AM IST.

How You’ll Make an Impact:

• Partner with stakeholders to frame business questions, define hypotheses, and design analytical approaches that align with business goals
  
  
• Work with various stakeholders to define which KPIs ensure clarity, consistency, and trust across reports and dashboards

• Translate complex data into clear, compelling narratives that drive decision-making, combining strong analytical rigor with effective data storytelling

• Own and execute BI requests, including translation of loosely defined or ambiguous asks into clear, actionable deliverables, dashboard development and enhancements, ad-hoc analyses, reconciliations, and metric validation
  
  
• Ensure metrics are consistent across reporting, traceable to source systems, and clearly documented with reproducible logic
  
  
• Proactively identify data gaps, inconsistencies, or missing context and work with stakeholders to resolve them
  
  
• Monitor and flag data quality issues and help enforce consistent metric definitions and business rules
  
  
• Collaborate closely with Data Engineering to define requirements for upstream transformations and ensure analytical needs are represented in technical planning

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