Remote Supply Chain Intern — Data Analytics & Modeling

Miebach; Fishers (IN); Hybrid; USD 21,000 - 30,000; Part time

Benefits offered by this job

Flexible hours

Hybrid/remote options

Competitive pay

401(k) plan

Job summary

Miebach Consulting is a leading supply chain-focused firm offering an internship to support data-driven solutions across industries. You will help prepare data requests, develop supply chain models, and build analyses for project deliverables.

You will visualize findings and communicate insights to varied audiences, contributing to client success through structured data-driven recommendations. You will work with large datasets, use Excel, Power BI, and PowerPoint to craft clear outputs, and

Qualifications

• Bachelor's degree in Engineering, Supply Chain, Business, or a related field.
• Expert MS Office skills, especially Excel, Power BI and PowerPoint.
• Excellent verbal and written communication skills.
• Ability to manage large data sets; proficient in Excel pivot tables and macros.
• Experience with design tools (AutoCAD or Configura) and network optimization tools (SC Guru, Data Guru) is a plus.

Responsibilities

• Prepare data requests tailored to each project and anticipate data needs.
• Develop strategic supply chain models with project managers.
• Present data summaries and provide clear recommendations to the team.
• Visualize and communicate data findings in multiple formats for diverse audiences.

Skills

Excel

Power BI

PowerPoint

Data analysis

Pivot tables

Education

Bachelor's degree in Engineering, Supply Chain, Business, or related field

Tools

AutoCAD

Configura

SC Guru

Data Guru

Job description

Miebach Consulting is a leading supply chain-focused firm offering an internship to support data-driven solutions across industries. You will help prepare data requests, develop supply chain models, and build analyses for project deliverables.

You will visualize findings and communicate insights to varied audiences, contributing to client success through structured data-driven recommendations. You will work with large datasets, use Excel, Power BI, and PowerPoint to craft clear outputs, and