Senior Go-to-Market Strategy Analyst, Scribe

• You have 4+ years of experience in data analytics or data science with a focus on GTM, Sales, or Marketing in B2B SaaS
• You have 2+ years of experience in sales operations, management consulting, investment banking, or strategy roles
• You’re proficient in SQL and can build complex, scalable queries to support decision-making across key business teams
• You’re experienced in building and maintaining dashboards that provide real-time insights into key business metrics
• You have expertise in turning data into actionable insights that impact customer acquisition, retention, and growth
• You’re familiar with key SaaS metrics like CAC, LTV, and NRR and are adept at driving business impact through data
• You’re comfortable working in a high-growth environment and thrive on solving complex problems

Desirable

• As the Founding Go-to-Market Strategy Analyst at Scribe, you will support critical teams, including Finance, Sales, Customer Success, and Marketing
• Reporting to the Head of Data, you will use data-driven insights and strategic analysis to shape go-to-market initiatives that accelerate revenue growth and optimize customer retention
• You’ll collaborate with these teams to create actionable insights that influence sales performance, marketing efficiency, and customer success
• This role involves both strategic planning and hands-on execution
• You’ll analyze trends and data, providing recommendations that directly impact growth metrics like CAC, LTV, and conversion rates
• Your work will focus on optimizing sales funnels, improving marketing outcomes, and driving customer success, influencing both short-term results and long-term strategy
• GTM Strategy Development: Collaborate across Finance, Sales, Customer Success, and Marketing to develop data-driven strategies that enhance customer acquisition, retention, and expansion
• Funnel Optimization: Analyze sales pipelines and customer journeys to identify bottlenecks, improve conversion rates, and drive better outcomes across Sales and Customer Success
• Metrics and Reporting: Build and maintain dashboards to track KPIs such as CAC, LTV, and conversion rates, ensuring visibility for leadership and stakeholders
• Forecasting and Planning: Partner with Finance and Sales to forecast performance and optimize marketing and sales investments
• Data Analysis and Insights: Leverage data to uncover actionable insights and trends that guide strategies in Sales, Customer Success, and Marketing
• Predictive Analytics: Develop predictive models to forecast customer behavior, prioritize marketing efforts, and identify high-value segments
• Cross-Functional Collaboration: Work closely with key teams (Sales, Finance, Customer Success, and Marketing) to align on strategies and operational efficiencies that drive growth