Manager, Revenue Analytics & Planning

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Revenue Analytics & Planning based in United States.

This role is designed for a strategic analytics leader who can transform revenue data into actionable business decisions.
You will own forecasting, planning, and executive insights across new, renewal, and expansion revenue streams.
As a player-coach, you will guide an analytics function while remaining hands-on with critical revenue operations initiatives.
The role combines data-driven strategy, financial modeling, and operational excellence to improve predictability and growth.
You will collaborate with cross-functional leaders to identify opportunities, mitigate risks, and optimize performance.
This is an opportunity to influence high-impact decisions in a fast-growing environment where analytics and AI-driven solutions shape the future of revenue operations.

The Manager, Revenue Analytics & Planning will lead revenue intelligence initiatives by combining analytical expertise, business strategy, and team leadership. This role will ensure accurate forecasting, improve planning processes, and provide executive-level insights that support growth and operational efficiency.

• Manage and mentor revenue analytics team members, starting with oversight of post-sales analytics and scaling the function as business needs evolve.
• Own revenue forecasting methodologies and improve forecast accuracy across new business, renewals, and expansion opportunities.
• Lead quarterly and annual planning processes, including capacity modeling, headcount planning, territory strategy, and quota allocation.
• Build and maintain reporting frameworks that measure pipeline health, conversion rates, sales effectiveness, customer retention, and revenue performance.
• Deliver executive and leadership-level reporting, translating complex data into clear insights and recommended actions.
• Identify pipeline gaps, forecast risks, and performance trends early, providing proactive recommendations to improve outcomes.
• Develop and maintain pre-sales analytics processes, including pipeline coverage, progression, aging analysis, and forecast support.
• Ensure reporting accuracy and consistency across dashboards, data sources, and operational workflows.
• Apply AI-driven approaches to improve forecasting models, automate insights generation, and identify revenue risks more efficiently.
• Partner closely with Revenue Operations, Sales, Finance, and leadership teams to align business goals with data-driven strategies.

Requirements:

The ideal candidate brings strong experience in revenue analytics, business planning, and operational strategy, with the ability to combine technical expertise with strong communication and leadership skills.

• 6–10 years of experience in Revenue Operations, FP&A, analytics, business intelligence, or related roles.
• Previous experience managing teams or operating as a player-coach within an analytics or operations function.
• Strong expertise in revenue forecasting, financial modeling, and performance analysis.
• Proven ability to support executive decision-making through clear reporting and strategic recommendations.
• Advanced Excel and business intelligence skills, with experience building dashboards and analytical models.
• Hands-on experience with Salesforce and revenue intelligence platforms such as Clari for pipeline reporting and forecasting.
• Experience with quota planning, territory planning, capacity modeling, and sales performance measurement.
• Familiarity with AI or machine learning applications for forecasting, analytics automation, and operational efficiency.
• Strong business judgment with the ability to translate complex data into actionable insights.
• Excellent communication, collaboration, and stakeholder management skills in fast-paced environments.

Benefits:

• Remote work flexibility.
• Competitive compensation package.
• Comprehensive health benefits.
• Paid time off program.
• Supportive and inclusive work environment.
• Opportunities for professional growth and career development.
• Collaborative culture where innovative ideas and data-driven solutions are encouraged.
• Opportunity to work on high-impact initiatives that influence business growth and employee experiences.