Senior Commercial Data Analyst (SaaS)

TL;DR

Senior Commercial Data Analyst (SaaS): Managing end-to-end bookings forecasting, quota modeling, and revenue operations analytics with an accent on data integrity and cross-functional collaboration. Focus on building complex scenario models, ensuring CRM/CPQ data accuracy, and delivering actionable insights to leadership to drive commercial performance.

Location: Must be based in the United States

Salary: $95,000 - $120,000

Company

hirify.global provides end-to-end technology solutions for the social good industry, supporting over 20,000 customers including nonprofits and Fortune 100 companies.

What you will do

• Own end-to-end bookings forecasting processes and partner with Sales leadership to ensure accuracy.
• Lead quota allocation modeling, capacity planning, and scenario analysis for annual planning.
• Maintain data integrity across CRM, CPQ, and Finance systems through rigorous validation processes.
• Develop clear dashboards and reports in Excel and Amazon Quicksight to support decision-making.
• Collaborate with technical teams to manage data sources and ensure version control using Git.
• Present executive-ready summaries of forecast performance and sales outcomes to leadership.

Requirements

• Must be based in the United States
• Must be authorized to work in the US without sponsorship
• Extensive experience in sales operations, revenue analytics, or business strategy.
• Fluency in Python and/or SQL.
• Advanced Excel skills for complex modeling and scenario analysis.
• Experience with Salesforce and data visualization tools.
• Familiarity with Git for managing scripts and model revisions.

Nice to have

• Experience in a SaaS environment.
• Familiarity with AI-driven forecasting tools or automation workflows.
• Experience presenting to executive teams or investors.
• Experience with Amazon Quicksight.

Culture & Benefits

• Inclusive and equitable culture focused on social impact.
• Comprehensive health, well-being, and growth benefits package.
• Opportunities to work with AI-powered tools for social good.
• Collaborative environment spanning Sales, Finance, and RevOps teams.