Business Intelligence Lead
At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.Want to become a key part of the Generative AI revolution? We should talk. We are looking for a visionary leader to design, develop, and deliver strategic data-centric insights by leveraging next-generation analytics and BI technologies. This is not a traditional reporting role—we seek someone who is data-centric, insight-driven, and eager to drive meaningful impact through innovative, scalable solutions.This role is perfect for someone who wants to enable innovation and growth, is passionate about data storytelling, and brings a future-forward mindset—particularly around AI-driven BI and conversational intelligence.
Responsibilities
- Become an expert on internal and external data trends relevant to Netomi’s business and product ecosystem.
- Design and maintain BI dashboards and tools that enable teams to independently track and understand business metrics.
- Conduct deep-dive analysis into chatbot performance, user interactions, and conversational flows to identify key optimization opportunities.
- Collaborate with product, engineering, and customer success teams to translate conversational analytics into actionable insights.
- Integrate and analyze data from conversational platforms (e.g., chatbot logs, NLU/NLP systems) to improve intent accuracy, resolution rates, and customer satisfaction.
- Leverage Generative BI tools to create dynamic, automated reports and data narratives that respond to natural language queries.
- Partner with enterprise architects to ensure solutions align with broader data architecture and governance principles.
- Drive automation of recurring reporting tasks and streamline data workflows using scripting and scheduling tools.
- Monitor AI-driven systems for accuracy, bias, and explainability in outputs—ensuring business users trust the insights provided.
Requirements
- 7+ years of experience designing and developing BI and analytics solutions, including leadership responsibilities.
- Experience with generative BI platforms (e.g., ThoughtSpot, Tableau Pulse, Microsoft Copilot in Power BI) and natural language query systems.
- Proven expertise in chatbot analytics, conversational flow optimization, and voice-of-customer data interpretation.
- Hands-on experience with SQL, scripting languages (Python or R), and data visualization tools (Quicksight, PowerBI, Tableau, Qlik).
- Solid understanding of data modeling, ETL processes, and data architecture best practices.
- Ability to translate complex data into clear business recommendations using interactive dashboards and storytelling techniques.
- Strong stakeholder management and communication skills, with the ability to present insights to both technical and non-technical audiences.
- Experience leading small, agile teams and working cross-functionally in a fast-paced environment.
Nice to Have
- Familiarity with NLP/NLU systems and how they generate structured data from conversation logs.
- Experience with customer experience analytics, support automation, or virtual agent performance metrics.
- Background in AI explainability and building trust in AI-generated insights.
Originally posted on Himalayas
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