Manager, Revenue Analytics & Planning [Remote]

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.

Accountabilities:

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.