Supply Chain & Data Analytics - Analyst Co-op

Bose Corporation•Atlanta, GA

3d•$22 - $28•Onsite

About The Position

We're looking for students to join our Co-Op Program who are obsessively curious about 'what's next'. You'll get hands on experience with our products and learn from the best of the best in the business. You will immerse yourself into Bose for 6 months and get the opportunity to grow the skills your learned in the classroom with hands on work experience. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career! Opportunities don't stop at your day-to-day work. While you're getting an in depth look at your area of expertise, we'll expose you to other areas of the company. Our Co-Ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You'll network with other Co-Ops and colleagues to grow your network for the future!

Requirements

Progress toward a BS in Supply Chain, Industrial Engineering, Business/Data Analytics, or similar
Comfort with data and business operations; intermediate Excel; exposure to Power BI or other data visualization tools.
Exposure and/or interest in AI implementation.
Clear communicator who can work independently and with senior stakeholders
Curiosity, initiative, and strong follow‑through on standard weekly tasks and project milestones

Nice To Haves

optional Python/SQL a plus

Responsibilities

Facilitate and deliver a co-op project that identifies a measurable improvement opportunity, analyzes data, recommends changes, and supports implementation where feasible. A recent successful example is the development of the Raw Material Dashboard in Procurement Analytics.
Own/support recurring KPI reporting and dashboards used by supply chain leadership, ensuring data accuracy, refresh timeliness, and clear communication of insights. Tools are primarily PowerBI & Excel based.
Support our cost‑reduction and savings processes by maintaining data quality and collaborating directly with tier-one partners to submit and validate savings.
Partner with internal and external IT teams to troubleshoot data issues, refresh extracts, and keep operational content up to date for monthly and quarterly business cadences.
Contribute to Supply Chain Systems & Analytics initiatives (data, metrics, and AI readiness), such as creation and support of new reporting, UAT execution, etc.
Create and maintain how‑to content (job aids, work instructions) that enable cross‑functional tool users to self‑serve reports and submit savings ideas correctly.