
Senior Manager, Revenue Analytics
Panorama Education
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Salary
💰 $157,250 - $231,500 per year
Job Level
Tech Stack
About the role
- Build and own Panorama’s core revenue reporting across pipeline, bookings, renewals, churn, retention, productivity, and forecast accuracy.
- Deliver insights that guide strategic decisions—identifying trends, diagnosing performance gaps, and highlighting opportunities for growth.
- Partner with GTM leadership to define and refine KPIs, targets, and business drivers.
- Move beyond reporting to root-cause analysis and prescriptive recommendations.
- Support the company’s forecasting process through data models, scenario planning, and advanced analysis.
- Improve forecast visibility and accuracy across Sales and Client Success.
- Build tools that increase operational predictability and empower leadership planning.
- Lead monthly and quarterly forecast analytics reviews with GTM leadership.
- Develop high-quality dashboards in Salesforce, Looker, or equivalent BI tools to give leaders real-time visibility into the business.
- Create scalable reporting frameworks that simplify how GTM teams consume data.
- Ensure consistency and accuracy of metrics across all reporting systems.
- Partner with Business Systems and Data teams to improve data definitions, data hygiene, and sources of truth.
- Help design data models that support forecasting, segmentation, lead routing, and account strategy.
- Champion data quality initiatives across the revenue organization.
- Directly manage and develop a team of revenue analysts.
- Establish weekly operating cadence, prioritization frameworks, and clear performance expectations.
- Coach team members on analytical rigor, storytelling with data, stakeholder management, and executive communication.
- Review analyses and models for quality, accuracy, and strategic clarity before executive distribution.
- Balance reactive business requests with proactive analytical initiatives.
- Build a scalable analytics roadmap aligned to company growth goals.
- Foster a high-performance culture rooted in ownership, precision, and business impact.
- Work closely with Sales, CS, Marketing, and Finance leaders to understand analytical needs and deliver insights that accelerate growth.
- Translate complex data into clear, actionable recommendations for GTM leaders and executives.
- Influence strategic decisions through compelling, data-backed analysis.
Requirements
- 6+ years of experience in Revenue Analytics, Sales/Revenue Operations, Business Analytics, or related roles in a SaaS environment.
- 3+ years of people management experience, including hiring, coaching, and developing high-performing analytical teams.
- Strong analytical and financial modeling skills; expert in Excel/Sheets and BI tools (Looker, Tableau, PowerBI, etc.).
- Deep experience with Salesforce reporting, dashboards, data structures, and objects.
- Proven ability to analyze large datasets, identify patterns, and present insights clearly to leadership.
- Experience leveraging AI tools/functions to advance reporting, dashboarding, analysis, etc.
- Strong business acumen across SaaS metrics, pipeline dynamics, sales cycles, and retention motions.
- Excellent communication skills and ability to partner cross-functionally.
- Self-starter who thrives in a fast-paced, mission-driven environment.
- Experience supporting enterprise or public sector sales motions (preferred).
- Familiarity with multi-product or multi-segment revenue organizations (preferred).
- Background in EdTech or mission-aligned SaaS (preferred).
Benefits
- 401K with an employer match
- Health, dental, vision, life insurance, and short-term and long-term disability coverage.
- Flexible spending account for health care and dependent care
- Wellness Reimbursement
- Work from Home Reimbursement
- Flexible vacation policy
- Parental leave program
- Company Issued Laptop
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
revenue analyticsfinancial modelingdata analysisdata modelingforecastingreporting frameworksanalytical rigorstorytelling with datadata quality initiativespipeline dynamics
Soft Skills
coachingstakeholder managementexecutive communicationteam developmentstrategic decision-makingcross-functional collaborationself-starterhigh-performance cultureprioritizationanalytical thinking