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Business Intelligence Analyst

Nutanix

Bangalore, India

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About the role

Hungry, Humble, Honest, with Heart.

The Opportunity

We are seeking a talented and driven Business-Intelligence Engineer to join our team. This role will be responsible for analysing complex data sets and deriving actionable insights that support data-driven decision making. We are looking for candidates with a strong foundation in Business Intelligence, expertise in AI tools, and strong problem-solving skills. 

 

About the Team

The GTM BI Team at Nutanix supports the Go-To-Market leadership team with analytics, insights, and reporting that drive growth, customer retention and productivity. This team is critical part of the operating rhythm of the company. 

 

Your Role

  • Deliver Deep Insights: Develop deep AI powered quantitative and qualitative insights to support executive decision making. 
  • Deliver Interactive-Insights: Build interactive dashboards and conversational intelligence tools to help our Go-To-Market executives and frontline teams drive the business. 
  • Build robust metrics: Partner closely with business leaders to define impactful Go-To-Market KPIs that measure growth, retention, productivity, and other strategic focus areas. 
  • Strengthen data foundation: Partner closely with our Data-Engineering team to build a scalable, secure and zero-error data foundation. 
  • Early-Warning Systems: Develop AI powered early warning agents that spot patterns and identify areas for intervention. 

 

What You Will Bring

  • Bachelor's or higher in Engineering, Computer Science, Data Science, AI, or related areas. 
  • Mandatory: 8 to 12+ years of professional experience in a relevant domain.
  • Experience building interactive or conversational analytics solutions using tools like Wisdom.ai, Alteryx or Thoughspot. 
  • Strong skills in Prompt Engineering and experience using AI-powered coding tools such as Cursor.ai, Copilot or Claude. 
  • Experience in delivering deep insights using LLMs like Gemini, Copilot, or Claude. 
  • Experience with data manipulation and analysis tools such as Python, React, SQL, Pandas, or Spark. 
  • Ability to absorb business context quickly and work with senior stakeholders. 
  • Good communication skills. 
  • Strong design sense.