Senior Sales Enablement AI Analytics Lead

GAF; Parsippany-Troy Hills (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

GAF in Parsippany, NJ is seeking a Sales & AI Data Analyst to bridge raw sales data, market intelligence, and AI capabilities into actionable insights for the field sales team.

You will combine traditional forecasting and territory planning with AI tools to streamline processes, improve accuracy, and drive revenue growth across the sales organization. Collaborate across Sales, IT, Marketing, and Finance to ensure data hygiene and strategic alignment.

Qualifications

• 3–5+ years of professional experience in Sales Analytics, BI, Revenue Operations, or Data Science.
• Deep expertise with Salesforce / Sales Cloud reporting, dashboards, data architecture, and CRM metrics.
• Advanced hands-on proficiency with BI tools such as Tableau or Salesforce CRM Analytics.
• Expert-level skills in Excel/Google Sheets, SQL, and statistical data modeling for sales forecasting and compensation scenarios.
• Bachelor’s degree or equivalent related work experience; H.S. Diploma or GED required.

Responsibilities

• Convert lead, pipeline, and customer usage data into high-impact, actionable insights for Sales Leadership teams.
• Analyze sales pipeline velocity, historical conversion rates, and market trends to support demand planning and revenue forecasting.
• Provide data modeling to support Area & Regional Sales Planning, quota setting, and Sales Compensation Planning; deliver ad hoc reports for leadership.

Skills

Sales forecasting

Salesforce / Sales Cloud

Tableau

Excel

SQL

CRM analytics

Data modeling

Education

Bachelor’s degree or equivalent

H.S. Diploma or GED

Tools

Salesforce AI/Agentforce

Einstein Analytics

Alteryx

Snowflake

Python

R

Job description

GAF in Parsippany, NJ is seeking a Sales & AI Data Analyst to bridge raw sales data, market intelligence, and AI capabilities into actionable insights for the field sales team.

You will combine traditional forecasting and territory planning with AI tools to streamline processes, improve accuracy, and drive revenue growth across the sales organization. Collaborate across Sales, IT, Marketing, and Finance to ensure data hygiene and strategic alignment.