Sales AI & Data Analyst for Predictive Revenue Growth

GAF; United States; On-site; USD 92,000 - 127,000; Full time

Benefits offered by this job

Health insurance

Family-building benefits

401K with match

Wellness program

Financial coaching

Referral program

Product rebates

Tuition reimbursement

Employee Resource Groups

Job summary

GAF is seeking a Sales & AI Data Analyst to bridge raw sales data, market intel, and AI capabilities into actionable insights for field sales. You’ll blend forecasting, territory planning, and compensation modeling with predictive tools to streamline processes and drive revenue growth.

The role partners with Sales Leadership, Sales Operations, IT, Marketing, and Finance to monitor data quality, build dashboards, and automate pipelines while translating trends into targeted enablement strategies.

Qualifications

• Bachelor’s degree or equivalent experience in analytics or business.
• 3–5+ years in Sales Analytics, BI, Revenue Ops, or Data Science.
• Deep Salesforce reporting, dashboards, data architecture, CRM metrics.
• Proficient in Tableau or Salesforce CRM Analytics.
• Advanced Excel/Google Sheets, SQL, and statistical modeling.

Responsibilities

• Convert data into actionable insights for sales leadership.
• Analyze pipeline velocity, conversion rates, and market trends.
• Support territory planning, quota setting, and compensation modeling.
• Deliver ad hoc performance reporting for executives.
• Collaborate with IT to deploy AI tools and automation.

Skills

Sales analytics

Excel/Google Sheets

SQL

Data modeling

Stakeholder communication

Education

Bachelor’s Degree

GED

Tools

Tableau

Salesforce CRM Analytics

Sales Cloud reporting

Python/R

Alteryx/Snowflake

Job description

GAF is seeking a Sales & AI Data Analyst to bridge raw sales data, market intel, and AI capabilities into actionable insights for field sales. You’ll blend forecasting, territory planning, and compensation modeling with predictive tools to streamline processes and drive revenue growth.

The role partners with Sales Leadership, Sales Operations, IT, Marketing, and Finance to monitor data quality, build dashboards, and automate pipelines while translating trends into targeted enablement strategies.