Supply Chain & Sales Analytics Intern

Link Snacks; Bentonville (AR); On-site; USD 28,000 - 37,000; Part time

Job summary

Link Snacks in Bentonville, AR is seeking a Summer 2027 Supply Chain/Sales Analyst Intern. You will partner with Demand and Supply Planning to gain hands-on experience, work with SAP APO/ECC, and develop item-level forecasts and weekly production plans.

You’ll collaborate with Operations, Customer Service, and Sales to build tools for supply chain success, using statistics and data analytics to measure forecast and production performance.

Qualifications

• Pursuing a bachelor’s degree with focus in supply chain, statistics, business, engineering or finance.
• Ability to work autonomously and meet deadlines.
• Team player with a can-do attitude.
• Strong verbal and written communication skills.
• Quick learner in a changing environment.

Responsibilities

• Apply data to manage item-level forecasts and weekly production planning.
• Assist in expediting production or inventory receipts when needed.
• Review and revise production plans based on sales forecasts.
• Act as liaison across planning, manufacturing, and sales functions.
• Assist management with planning and forecasting matters.
• Develop inventory and demand planning models using analytics.
• Create ad-hoc reports in Excel and Power BI from large datasets.
• Participate in supply chain projects to deliver outcomes.
• Exposure to SAP APO/ECC, Excel, and data warehousing for metrics.

Skills

Autonomy

Team player

Adaptability

Verbal & written comms

Quick learner

Education

Bachelor's degree in Supply Chain, Stats/Math, Business, Eng, or Finance

Tools

SAP APO/ECC

Excel

Power BI

Data warehousing

Job description

Link Snacks in Bentonville, AR is seeking a Summer 2027 Supply Chain/Sales Analyst Intern. You will partner with Demand and Supply Planning to gain hands-on experience, work with SAP APO/ECC, and develop item-level forecasts and weekly production plans.

You’ll collaborate with Operations, Customer Service, and Sales to build tools for supply chain success, using statistics and data analytics to measure forecast and production performance.