Job description

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 a Data Analytics Engineering Co-op to join our Data 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 a Data 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 At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $29.00-$37.25 per hour.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company—driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we’re creating what’s next—pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let’s Make Waves. ‎

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawssqlpythonaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401(K)