Senior Manager, GTM Intelligence, Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the end-to-end GTM strategy analytics, covering everything from pre-sales pipeline and funnel performance to post-sales customer health and retention.

• Develop, lead, and expand a team of BI professionals by overseeing hiring, onboarding, goal-setting, and career advancement.

• Create an operating model grounded in rigor and consistency.

• Establish clear, easily consumable frameworks and dashboards to set the analytical standard for performance measurement.

• Direct the analytics and visualization strategy for GTM health and value aimed at executive audiences, including L1/L4 metrics.

• Serve as the primary analytical thought partner for Sales, Success, Data Science, Systems, and GTM leadership.

• Represent the BI function in cross-functional strategic planning initiatives.

• Collaborate with Data Science and Systems teams to ensure data integrity and structure.

• Manage the prioritization, quality control, and delivery of both recurring and ad hoc reports.

⛳️ Requirements

• Minimum of 8 years of experience in business analysis or BI, including the development of decision-making and financial models.

• At least 2 years of direct experience in managing, developing, and nurturing a team of analytics or BI professionals.

• Proficient in SQL, Raplit, Tableau (or similar tools) at an expert level.

• Proven ability to convert complex datasets into insights suitable for executive review.

• Bachelor's or Master's degree in Computer Science, Mathematics, Economics, Business Analytics, Finance, or a related quantitative discipline.

• Demonstrated experience in people leadership, including talent acquisition, coaching, and retention.

• Ability to make strategic decisions based on data rather than merely reporting it.

• Exceptional communication skills, with the capacity to distill complex data into straightforward narratives and actionable recommendations.

• Strong creative problem-solving skills in the face of ambiguous challenges.

• Capacity to align both technical and non-technical stakeholders.

• Skill in defining pertinent questions in uncertain scenarios.

• Experience collaborating with Data Science, Data Engineering, Product, and Operations teams to translate data into tangible business outcomes.

🏝️ Benefits

• Competitive base salary.

• Equity awards based on criteria such as experience, performance, and location.

• Cloud HQ distributed work model.

• Flexible remote work options.

• A culture that is inclusive, innovative, and engaging.

• Opportunities for employee growth.

• Commitment to equal employment opportunities and accommodation support.