Data Analytics Engineer Co-op

At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. 

Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. 

Job Description

About the Role:
We are looking for aData Analytics Engineering Co-op to join ourData and Analytics Center of Excellence (D&A CoE). This role provides an exciting opportunity to gain hands-on experience in the data and analytics engineering work that drives a multi-billion dollar business like Bose. You will work alongside experienced professionals to develop and support data-driven solutions that enhance business strategies and improve customer experiences.

As aData Analytics Engineering Co-op, you will assist in transforming raw, diverse datasets into meaningful insights.  This includes data pipeline development and modeling work that supports business analysts as well as data scientists who are creating AI solutions.  Applications include marketing, engineering, product development, supply chain, and finance. You will work with a modern technology stack, including AWS and Snowflake, and write code using engineering best practices. This role is ideal for someone who is eager to learn, detail-oriented, and passionate about leveraging data to drive decision-making. Quality data models are the foundation of what we do in the D&A CoE, from executive level reporting to AI models that optimize our business. 

Key Responsibilities:

• Assist in the development and maintenance of business-critical data pipelines, typically built in SQL and Python
• Support the design and implementation of logical and physical data models to enhance data accessibility.
• Conduct data wrangling and preprocessing to clean and structure datasets for analysis.
• Help build and maintain semantic layers to enable dashboard development and data science work.
• Contribute to new tools and techniques that make data analytics engineering more efficient and effective.
• Work with cross-functional teams to understand business requirements and translate them into data solutions.
• Assist in creating dashboards and reports that provide actionable insights for business teams.
• Learn and apply best practices for data governance, security, and quality assurance.

MUST BE:

• Fully available January 11- June 25, 2027
• Currently enrolled in university
• Willing to relocate on your own to Framingham, MA

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