About the Company:
About the Role
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.
