Job Details

Were looking for a Senior Revenue Forecasting Analyst to join our Revenue Operations Business Partner team within Corporate Strategy & Operations. This role sits at the intersection of forecasting science, analytics, and field insighthelping leaders understand whats coming next and make smarter calls on risk and upside.

As a key forecasting and performance predictor, youll integrate pacing, coverage, pipegen, and capacity data to create a clear picture of expected outcomes. Youll help regional leaders stay ahead of issuesfrom people and productivity to pipeline and forecastby identifying early signals, patterns, and opportunities.

This position has the opportunity to work remotely from any U.S. location or be based in one of our U.S. offices. We're looking for someone to join us immediately.

What youll do:

• Drive weekly current-quarter and monthly next-quarter outlooks for assigned regions to provide executive leadership with clarity on pacing, risks, and upsides.
• Develop and refine sophisticated forecast models and dashboards that integrate pacing, coverage, pipeline generation, and capacity signals.
• Analyze leading indicators and lagging risks to diagnose root causes of forecast variance and recommend improvements for GTM process predictability.
• Execute complex data modeling using SQL, Tableau, and Salesforce to extract and interpret opportunity datasets across global functions.
• Collaborate with Analytics and Data Science teams to incorporate advanced analytical methods and ML-driven signals into predictive accuracy workstreams.
• Present structured, compelling narratives to field leadership that translate raw analytical findings into actionable business strategies.
• Partner with Systems and Operations teams to automate forecasting workflows and integrate third-party tools like Gong into core GTM processes.
• Evaluate regional performance trends, including end-of-quarter results and individual contributor predictability, to elevate overall operational discipline.

What were looking for:

• Education: Bachelors degree in Business, Finance, Economics, Data Science, or a related quantitative field; an MBA is a plus.
• Experience: 58 years of experience in Revenue Operations, Sales Analytics, or Business Operations, specifically within a SaaS or enterprise software environment.
• Technical Skills: Advanced proficiency in SQL, Tableau (or similar BI tools), Salesforce, and expert-level Excel or Google Sheets modeling.
• Specialized Knowledge: Deep understanding of SaaS pipeline dynamics, pacing logic, and GTM data architecture (CRM/CPQ logic).
• Communication: Exceptional ability to distill complex data sets into simple, executive-ready narratives and visualizations.
• Analytical Thinking: Strong reasoning skills with the ability to identify patterns in large datasets; experience with Python or R for regression analysis is preferred.
• Collaboration: A trusted partner mindset with the ability to influence leadership and align stakeholders across diverse regions.

ul>


Personal Attributes: High level of intellectual curiosity, a strong bias toward action, and the agility to navigate ambiguous, fast-paced business cycles.

Additional Information

Base Pay Range:

114,400.00 - 157,300.00 USD Annual


For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.