Business Intelligence Lead

About The Company

About The Role

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.