Business Intelligence Analyst

• *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.