Product Data Analyst (AI-Native)

About the role

Connecteam, a platform for managing deskless teams, is looking for a product-first, AI-native Data Analyst to shape how its Product organization understands signup, activation, feature adoption and launches. This is a high-ownership role combining strong business judgment with deep technical capabilities, working closely with Product Managers, engineers and senior leadership. The role uses dbt, BigQuery, Looker and GitHub, and AI-enabled tools such as Cursor, MCP integrations, n8n and OpenClaw.

Key responsibilities

• Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics and post-launch measurement.
• Analyze questions around signup conversion, first-day behavior, feature adoption, retention and release performance.
• Define and validate analytics events and integrate them into usage, 360 and feature-usage models.
• Extend and validate dbt models, owning changes through pull request and CI.
• Build and maintain Looker dashboards that support product decisions.
• Investigate anomalies, usage drops, tracking failures, spam and inconsistent metrics.
• Turn repeatable analyses and processes into agent skills, rules and automated workflows.

Required profile

• 3+ years of experience in product or growth analytics within a fast-paced SaaS or web company.
• Strong business judgment and the ability to turn ambiguous questions into clear analytical approaches.
• Excellent communication, proactive ownership and the ability to influence technical and non-technical stakeholders.

Required skills

• Advanced SQL and experience with large event datasets.
• Production dbt, including data lineage, DAGs, testing and CI.
• Git-based workflows, branches, pull requests and code reviews.
• Looker or a comparable BI platform for decision-oriented dashboards.
• Practical experience using AI agents in analytical or engineering workflows.
• Nice to have: a governed semantic layer, Python, a background in statistics, experimentation or A/B testing, B2B multi-tenant product experience, and experience building agent skills, n8n workflows, Cursor projects or internal data agents.