Habeo is the IT asset management and CMDB platform built specifically for higher education, replacing ServiceNow ITAM at colleges and universities with Workday-integrated, GASB-compliant, MDM-native discovery and asset tracking. We're looking for a Product Analyst to help the team understand how institutions use Habeo, translate customer and usage data into clear product decisions, and support the roadmap with rigorous analysis.
This role is 100% remote. Habeo is remote-first and accepts applicants located anywhere in the world.
What you'll do
- Analyze product usage data across the asset ledger, CMDB, and Copilot features to identify adoption patterns, friction points, and opportunities
- Partner with product managers and engineers to define, track, and report on key product metrics and KPIs
- Build and maintain dashboards and reports that give the team a clear, ongoing view of product health
- Translate qualitative and quantitative customer feedback (from design partners and pilot institutions) into actionable product insights
- Support experimentation and feature rollouts by designing analyses, defining success metrics, and evaluating outcomes
- Collaborate cross-functionally with sales, customer success, and engineering to answer ad hoc product questions with data
What we're looking for
- 2+ years of experience in a product analyst, data analyst, or similar analytical role, ideally at a B2B SaaS company
- Strong SQL skills and experience working directly with product usage or event data
- Comfort with data visualization and BI tools (e.g., Looker, Mode, Tableau, or similar)
- Ability to translate ambiguous business questions into structured analyses and clear recommendations
- Excellent written and verbal communication skills, including presenting findings to non-technical stakeholders
- Strong attention to detail and a bias toward rigorous, evidence-based decision-making
Nice to have
- Experience working with or analyzing data from enterprise software sold to institutions (higher education, government, or other complex organizational buyers)
- Familiarity with CMDB, ITAM, or IT service management concepts
- Experience with Python or another scripting language for data analysis