Data Analytics Engineer Co-op

Bose Corporation • Full-time • Framingham, MA, US • 1d ago

You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most.

At Bose, we believe sound is the most powerful force on earth. We’ve dedicated ourselves to improving it for more than 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.

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.

Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC’s “Know Your Rights: Workplace discrimination is illegal” Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.

Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.