The opportunity
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers.
What you'll do
Lead the Sales Analytics team -: Drive vision for and champion a team of data scientists and analysts to deliver impact across customer acquisition and product expansion sales teams.
Insights and Recommendations: Conduct deep-dive analyses to identify revenue drivers and anomalies. Translate complex data into clear, actionable insights and recommendations for senior leadership and cross-functional partners.
Rebuild the data foundation -: alongside Data Engineering and Service Platform partners, drive the evolution of our foundational data systems needed to build a world class sales analytics ecosystem.
Partner with key stakeholders -: work closely with the Chief Revenue Officer, Sales Operations, Data Engineering, and the Service Platform team to align on a shared data and infrastructure roadmap.
Evolve forecasting capabilities -: Evolve our sales forecasting methodology to incorporate more rigorous analytics methods (eg propensity scoring, better seasonality controls, etc)
Enable self-service analytics with AI -: leverage Gusto's move toward AI-first development to create self-service analytics capabilities for operations partners. Stay ahead of emerging AI tools that can drive efficiency and accuracy in revenue analytics.
What they're looking for
- Drive team excellence -: Recruit, mentor, and develop a high-performing, proactive analytics team, shifting the culture from reactive query fulfillment toward strategic analysis. As AI handles more of the routine reporting, define what excellence looks like for analysts in a world where causal thinking and statistical fluency are the new baseline.
- Act as connective tissue across the data org -: identify opportunities where deeper technical solutions (e.g., from Data Engineering, Analytics Engineering, Data Science, or AI/ML Engineering) could accelerate revenue-driving analytics, and proactively bring the right partners into the conversation.
- + years of experience in data science or related fields, with at least 4+: years leading a growing analytics team.
- Leadership with a Builder Mindset: A dynamic leader who inspires and develops teams while maintaining a “roll up your sleeves” attitude — able to step into the details when needed to build reports, run analyses, and troubleshoot.
