Data Analytics Engineer Co-op

US, MA - Framingham, United States

Bose Corporation

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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 nearly 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical. 

The Corporate Strategy team at Bose works on some of the company’s most important business and growth initiatives. We work closely with executive leadership and cross-functional teams across the company to analyze market opportunities, create winning strategies, and inform important decisions with insightful, data-driven recommendations based on a deep knowledge of the business, customers, and external market factors.

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 that is committed to inclusion and diversity. 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. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information.

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.

If you believe you need a reasonable accommodation, please send a note to wellbeing@bose.com

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Data Analytics Data governance Data pipelines Engineering Finance Pipelines Python Security Snowflake SQL

Region: North America
Country: United States

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