Senior Data Analyst, Enterprise

📋 Description

• shape how the business understands what drives adoption, retention, and expansion
• analyzing how customers move from sign-up to activation, engagement, conversion, expansion, and
• turning data into clear, actionable insight on the growth levers leadership can act on
• partner with Customer Success, Product, Growth, RevOps, and Data Engineering
• define how digital and scaled success programs are measured, size opportunities, show where to
• shape the data foundations that underpin our AI and automation capabilities

🎯 Requirements

• 5+ years in analytics within complex B2B SaaS environments, ideally in a product-led or self-serve
• Strong PLG and customer lifecycle expertise, including activation, PQLs, cohort analysis
• Experience partnering with Customer Success, Product, and Growth stakeholders and translating
• Ability to synthesize complex analysis into clear recommendations and communicate them to senior
• Experience with experimentation (A/B testing), statistical modeling, or predictive techniques
• Advanced SQL and strong experience with large-scale analytical datasets, including product usage

🎁 Benefits

• Opportunity to do meaningful analytics work across adoption, retention, expansion, and digital
• Close partnership with Customer Success stakeholders and a direct line to leadership
• Involvement in building the data foundations and analytical standards
• Exposure to how AI gets applied in customer analytics, including Generative BI and AI-assisted
• Cross-functional collaboration across Customer Success, Product, Growth, Marketing, Finance
• Environment where there’s a lot to build and contributions have real impact