Global Sales Incentives & Analytics Intern

IBM; Armonk (NY); Hybrid; USD 66,000 - 121,000; Part time

Benefits offered by this job

Up to 20% or 1 day a week

Job summary

IBM is seeking an intern to contribute to sales incentive design and analysis in Armonk, NY. You will partner with experienced staff to derive insights for sales plan design and client segmentation, supporting the creation and implementation of balanced incentives aligned with IBM's compensation principles.

Responsibilities include analyzing data, ensuring accuracy in calculations, and collaborating across functions to drive continual process improvement.

Qualifications

• Analytical Thinking - Ability to interpret data, identify trends, and support decision-making.
• Attention to Detail - Ensuring accuracy in calculations, documentation, and design deliverables.
• Communication Skills - Clear and concise reporting of findings, ideas, and recommendations to team members and stakeholders.
• Adaptability & Collaboration - Ability to work in a fast-paced environment, learn quickly, and collaborate across different functions.

Responsibilities

• Partner with experienced staff and work independently to provide analysis and insights to inform decisions on IBM’s sales plan design and client segmentation processes.
• Support the creation, financial integrity and implementation of a competitive, balanced sales incentive plan.
• Deliver digitized global end to end sales incentives consistent with compensation principles and Go-to-Market strategy.

Skills

Analytical Thinking

Attention to Detail

Communication Skills

Adaptability & Collaboration

Education

High School Diploma

Bachelor's Degree

Job description

IBM is seeking an intern to contribute to sales incentive design and analysis in Armonk, NY. You will partner with experienced staff to derive insights for sales plan design and client segmentation, supporting the creation and implementation of balanced incentives aligned with IBM's compensation principles.

Responsibilities include analyzing data, ensuring accuracy in calculations, and collaborating across functions to drive continual process improvement.