Product Analyst

We're looking for a Founding Analytics hire who will help build the measurement and insights layer for Nugget's voice bot platform. You will work closely with an AI Product Manager and a team of engineers to define how we measure performance across bots deployed with different clients and business use cases. The role is highly hands-on: you'll work with large volumes of call and event data, write SQL queries, build data pipelines, and generate insights that help the team understand both technical performance and business impact.
The candidate will have responsibilities across the following functions:
Define performance metrics:
Work with product and engineering to define core business and operational metrics for voice bots.
Develop frameworks to measure automation effectiveness, conversation success, escalation rates, and customer outcomes.
Establish consistent metrics across multiple clients and business verticals.
Analyse voice bot performance:
Analyse call logs, transcripts, and system events to understand how bots behave in production.
Identify conversation failure modes, latency issues, and operational bottlenecks
Translate raw interaction data into actionable product insights.
Write queries and build datasets:
Write complex SQL queries to analyse voice interaction and operational data.
Build and maintain data pipelines and structured datasets used for analytics and reporting.
Ensure reliable and scalable data models for tracking bot performance.
Support product and engineering decisions:
Provide analytical support for product improvements and experiments.
Help debug production issues using data analysis.
Create dashboards and reports to monitor bot performance across deployments.
Requirements:
Strong SQL skills and experience analysing large datasets.
Experience working with event data, logs, or product analytics.
Ability to define meaningful metrics for complex systems.
Strong problem-solving and analytical thinking.
Comfort working in early-stage environments with ambiguity.
Nice to Have:
Experience with LLM products, conversational AI, or voice systems.
Familiarity with data warehouses, ETL pipelines, or analytics tools.
Background in product analytics, data science, or business analytics.

Experience
2-4 yrs