Partner Analytics & Forecasting Intern

InComm Payments; Atlanta (GA); On-site; USD 21,000 - 30,000; Part time

Job summary

InComm Payments in Atlanta seeks an Intern to support Partner Account Managers, marketing managers, and analysts. You will gain exposure to gift card product movement in retail and digital channels, focusing on revenue, forecasting, and program development.

Ideal candidates are collaborative, innovative, adaptable, and passionate about fintech. You will build strong working relationships with internal teams while learning and applying data-driven insights in a fast-paced environment.

Qualifications

• GPA 3.0 or higher required.
• Local to Atlanta, GA.
• Pursuing a Bachelor's degree in Business, Data Science, Finance or related field.
• Students must commit to at least 20 hours per week year-round.
• Graduation window: Dec 2027–May 2028.

Responsibilities

• Learn relationship management processes and principles.
• Develop data and technical skills with Excel, PowerPoint, PowerBI.
• Prepare forecasting and quantitative analyses for partner initiatives.
• Support data analysis for partner reviews and inventory reviews.
• Analyze sales reports to identify trends.
• Assist in partner mapping for expansion and new launches.
• Collaborate with PAMs on promotions and activities.
• Provide regular reports and ad hoc analyses.
• Assist with database management (cube, image library, Dynamics).
• Support team with customer service inquiries.

Skills

Excel

PowerPoint

PowerBI

Data analysis

Relationship management

Education

Business degree

Data Science

Finance degree

Tools

Dynamics

Microsoft Office

Job description

InComm Payments in Atlanta seeks an Intern to support Partner Account Managers, marketing managers, and analysts. You will gain exposure to gift card product movement in retail and digital channels, focusing on revenue, forecasting, and program development.

Ideal candidates are collaborative, innovative, adaptable, and passionate about fintech. You will build strong working relationships with internal teams while learning and applying data-driven insights in a fast-paced environment.