Senior Product Analyst

Dealfront is an AI-powered, agentic go-to-market and signal orchestration platform for B2B mid-market companies. We provide businesses with the clarity to focus their efforts where they’ll count most—on accounts that fit their ideal customer profile, show real buying intent, and are actively engaging.

No more cold outreach and no more bloated target lists. Just better deals, faster. Our platform brings together powerful data, real-time insights, and intelligent prioritisation to help our customers identify, engage, and convert the right accounts, at the right time. Built for teams that value speed, precision, and simplicity, Dealfront turns complexity into action.

Join us and be a part of our journey to transform the way businesses win more deals!

The Role

Data is Dealfront’s growth engine. We’re looking for a hands-on Senior Product Analyst to define and execute our Product Analytics strategy—enabling every team to act on insight, not instinct. Your mission is to make the product organization fully self-service on data by building the systems, events, and assets that translate product usage into business growth.

Key Responsibilities

• Own the Product Analytics Strategy: From event taxonomy and instrumentation to reporting, you will lead our approach to product data.
• Govern Data Assets: Design, maintain, and govern the Product Events Dictionary and associated workbooks to ensure data consistency and quality.
• Automate Reporting: Create and automate essential reports and dashboards covering product adoption, user behavior, activation, retention, and monetization.
• Surface Insights: Write and distribute a Product Analytics Newsletter or similar, surfacing trends and insights that drive action across the company.
• Embed Data in Product Development: Partner with Product Ops and Product Managers to integrate key metrics into every roadmap and Product Requirements Document (PRD).
• Enable Self-Service Analytics: Empower teams to conduct their own analyses by creating clear documentation, templates, and training materials.

• Leverage AI: Use AI to accelerate analysis, including insight generation, anomaly detection, and trend summarization.