We are seeking a Director of Analytics to lead analytics-driven growth initiatives across our business. This role is highly strategic and hands-on, combining customer-facing leadership, business optimization, and advanced analytics.
The Director of Analytics will partner closely with Customer Success Managers (CSMs), Sales Leaders, the CRO and the leadership team to drive revenue growth, customer acquisition, as well as performance optimization across pre-sales and post-sales.
This role requires an exceptional communicator with strong business acumen, deep analytical capabilities, and proven experience leading high-performing analytics teams in a complex data environment.
Responsibilities:
- Lead analytics-driven growth initiatives focused on customer acquisition, expansion, and monetization.
- Partner closely with the CRO, Sales leadership, and Customer Success Managers to identify growth levers, support customers’ analytics requests, and optimize revenue and Conversion rates performance.
- Manage and develop a high-performing analytics team, setting clear expectations for analytical rigor, problem definition, and insight storytelling
- Coach and mentor analysts with a strong focus on business impact and customer-facing insight delivery
- Act as a customer-facing analytics leader, participating in QBRs, executive reviews, and strategic customer conversations
- Own the customer and sales data domain, including metric definitions, data consistency, and integrity
- Proactively identify, troubleshoot, and resolve data quality and data reliability issues in partnership with BI, R&D, and Product
- Work closely with Product and R&D teams to influence roadmap decisions through data and customer insights
- Define KPIs, dashboards, and measurement frameworks that align analytics output with business outcomes
- Independently initiate and lead cross-functional analytics projects from concept through delivery and impact measurement
- Support pre-sales processes with analytics, including customer insights, benchmarking, ROI and value modeling, and data-backed sales narratives.
- Support post-sales processes with analytics, including customer monitoring, proposition suggestion and optimization analysis.