Data Analytics Engineer Co-op — AWS & Snowflake

Bose Corporation; Atlanta (GA); On-site; USD 40,000 - 51,000; Full time

Benefits offered by this job

Health benefits

401(k)

Employee discount

Job summary

Bose Corporation is seeking a Data Analytics Engineering Co-op to join the Data and Analytics Center of Excellence. You will transform raw datasets into meaningful insights, build data pipelines, and support data-driven decision making across marketing, engineering, product development, supply chain, and finance.

Work with AWS and Snowflake, writing code with engineering best practices. This role suits a detail-oriented learner eager to gain hands-on experience in a multi-billion-dollar business.

Qualifications

• Current enrollment in a university program is required.
• Willing to relocate to Framingham, MA for the co-op.
• This is a Data Analytics Engineering Co-op role within Bose's D&A CoE.

Responsibilities

• Assist in developing and maintaining data pipelines using SQL and Python.
• Support the design and implementation of logical/physical data models to improve data accessibility.
• Perform data wrangling and preprocessing to ready datasets for analysis.
• Contribute to semantic layers to enable dashboards and data science work.
• Help advance tools/techniques to improve analytics efficiency.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Create dashboards/reports to deliver actionable business insights.
• Learn and apply data governance, security, and quality best practices.

Skills

SQL

Python

Data modeling

Data wrangling

Education

Enrolled in university

Tools

AWS

Snowflake

Job description

Bose Corporation is seeking a Data Analytics Engineering Co-op to join the Data and Analytics Center of Excellence. You will transform raw datasets into meaningful insights, build data pipelines, and support data-driven decision making across marketing, engineering, product development, supply chain, and finance.

Work with AWS and Snowflake, writing code with engineering best practices. This role suits a detail-oriented learner eager to gain hands-on experience in a multi-billion-dollar business.