Demand Planning Intern, Summer 2027 (REQ#43490)

RippleMatch Inc.; Michigan; On-site; USD 34,000 - 35,000; Full time

Job summary

RippleMatch Inc. is offering an internship as a Demand Planning Intern for Summer 2027 in Ada, MI. The role is onsite with a Monday–Thursday in-person schedule and a Friday remote option.

The intern will help build a centralized data library capturing historical forecasting insights, assumptions, and lessons learned from product launches. You will partner with Demand Planning and Analytics teams to identify meaningful data trends, document findings, and support future forecasting improvements

Qualifications

• Students who have completed their junior year and expect to graduate between December 2027 and April 2028.

Responsibilities

• Support creation of a centralized data library capturing forecasting insights, assumptions, outcomes and lessons learned.
• Collaborate with Demand Planning and Analytics teams to identify data trends and document findings for future forecasting improvements.
• Help organize data inputs and assist in AI-enabled planning tooling exploration and deployment.

Skills

Data analysis

Dashboarding

AI tools usage

Data storytelling

Attention to detail

Communication

Tools

Excel

Tableau

Power BI

Alteryx

AI tools (Copilot/ChatGPT)

Job description

Internship Job title: Demand Planning Intern, Summer 2027

Department/Division: Supply Chain / Demand Planning

Hourly Range: $24.36-$25.55

Location: Ada, MI (Onsite)

*Note: This position is an office role, and you must be able to report in-person to Ada on Mondays through Thursdays, with Friday as a remote optional day

What’s special about this team:

The Demand Planning team is responsible for developing demand forecasts that help guide inventory, supply chain, and business planning decisions. By analyzing data, evaluating business assumptions, and collaborating with partners across the organization, the team helps ensure that products are available to meet customer demand while supporting operational efficiency. As forecasting capabilities continue to evolve, the team is also exploring opportunities to leverage advanced analytics, machine learning, and AI to improve planning accuracy and effectiveness.

How would an intern contribute to the team’s success:

The intern will support a key initiative focused on improving how the Demand Planning team analyzes and learns from new product forecasts. This project will involve building a centralized "data library" that captures historical insights, assumptions, business context, and lessons learned from previous forecasting efforts. The intern will partner with Demand Planning and Analytics teams to identify meaningful data trends, document findings, and help establish a repository that can support future forecasting improvements and AI-driven planning capabilities. This work will play an important role in helping the team leverage data more effectively and continuously improve forecasting processes.

An example of a typical project would be:

Example #1 - Forecasting Data Library Development

• Support the creation of a centralized repository that captures historical forecasting assumptions, outcomes, and lessons learned from new product launches. Analyze trends across previous forecasts, identify factors that influenced performance, and document findings in a way that enables future teams to learn from past decisions.

Example #2 - AI & Forecasting Process Enhancement

• Partner with Demand Planning and Analytics teams to evaluate how historical forecasting data can support new machine learning and AI-enabled planning tools. Help organize and structure data inputs, identify business considerations that influence forecast performance, and recommend opportunities to improve how information is captured and utilized.

Example #3 - Business Insights & Continuous Improvement

• Work with cross-functional partners to understand forecasting challenges, gather business requirements, and develop reporting or visualization tools that support decision-making. Present recommendations and insights that help improve forecasting processes, data accessibility, and planning effectiveness across the organization.

Required skills and background:

Desired Majors:

• Supply Chain Management
• Business Administration
• Economics
• Statistics
• Operations Managment
• Data Analytics

Academic Eligibility: Students who will have completed their junior year by the start of the internship and have an anticipated graduation date between December 2027 and April 2028.

Technical Skills:

• Microsoft Excel, including data analysis and reporting capabilities
• Experience organizing, analyzing, and interpreting data
• Experience creating dashboards, reports, or visualizations
• Familiarity with Tableau, Power BI, Alteryx, or similar analytical tools
• Experience using AI tools (such as Microsoft Copilot, ChatGPT, Claude, or similar platforms) to support analysis, research, or productivity
• Ability to summarize data and communicate findings to business audiences

Soft Skills:

• Natural curiosity and a desire to understand the "why" behind business results
• Strong communication and presentation skills
• Attention to detail and commitment to accuracy
• Analytical thinking and problem-solving abilities
• Ability to translate data into actionable business insights
• Collaborative mindset with the ability to work across functions
• Initiative and accountability when managing projects independently
• Comfort working in an environment of continuous learning and improvement

Your pay rate within the posted range will be based on your completed class year at the start of the internship program. Amway’s recruiting team will confirm your applicable rate during the recruitment process.

Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.