Join Bose as a Data Analyst in Automotive Supply Chain

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.” At Bose, we believe sound is the most powerful force on earth. We’ve dedicated ourselves to enhancing it for nearly 60 years, making whatever you’re listening to a little more magical.

About Bose

At Bose, we are constantly learning and curious. Our Product team transforms ideas through research, design, development, marketing, and sales, delivering the best products on the market. Now, we are seeking a passionate Data Analyst to lead our Automotive Supply Chain team.

Job Description

Do you love working with data and are fascinated by supply chain, planning, forecasting, or costing disciplines? Would you like to use your analytics skills to improve global operations? This role is an opportunity to shape Bose’s Global Supply Chain by applying your analytics, practical thinking, and problem-solving skills. Partner with stakeholders across the organization and make an impact.

Key Responsibilities

• Analyze vast data sets from various sources to extract actionable insights.
• Utilize data visualization tools (e.g., Tableau, Power BI) to develop and maintain reports, dashboards, and other data visualizations.
• Create complex calculations and KPIs using DAX.
• Manipulate and analyze data by building SQL queries.
• Collaborate with cross-functional teams to gather requirements and understand business needs.
• Communicate findings and insights to stakeholders through written and verbal reports.
• Use storytelling techniques to inspire action and drive results.
• Create and manage Confluence pages to document data sources and procedures.
• Work with DBT to model and transform data for analytics purposes.
• Continuously monitor data to ensure accuracy, completeness, and reliability.
• Enhance and streamline data analysis processes by creating Power BI ecosystem solutions.

Example Responsibilities

• End-to-End Automotive Supply Chain analysis to identify opportunities or trends to reduce cost, including footprint optimization.
• Deep dive analysis across various supply chain disciplines for opportunities of continuous improvement.
• Customer behavior analysis to determine more efficient ways of working.
• Supplier and Customer contract analysis to drive improved alignment.
• Cost analysis to consider macroeconomic dynamics, product design and margin expectations.
• Analysis of contract manufacturing operations to drive performance to metrics.
• Utilize scenario planning to determine inventory best practices.
• Leverage business case practices to ensure projects are well thought through.

Qualifications

• Bachelor's degree in a relevant field such as computer science, data science, mathematics, or statistics.
• 3+ years of experience in data analysis, business intelligence, or a related field; direct experience with supply chain disciplines is a must; experience with Automotive Supply Chain is a plus.
• Strong skills in Power BI, DAX, SQL, and data visualization; experience with Kinaxis/SAP preferred.
• Excellent analytical skills with experience in data manipulation, modeling, and interpretation.
• Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Strong attention to detail and ability to work independently and manage multiple projects simultaneously.
• A life-long learner who is curious and passionate about solving hard, ill-defined problems.

What's in it for You

Be a part of a top-notch, multidisciplinary, transparent, and agile team. Collaborate with people who want to solve problems and have fun together. Enjoy an excellent work-life balance and a continuous learning environment. Receive a highly competitive package and a comprehensive benefits program. At Bose, we strive to help our employees and customers reach their fullest potential.

Diversity and Inclusion at Bose

Bose is an equal opportunity employer 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:

• <