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.

We are looking for a Data Analytics Engineer within our Data and Analytics Center of Excellence in Portugal. The mission of this team is to develop world-class data science, machine learning, and statistical solutions to extract insights and enable data driven decisions that improve our business and enhance customer experiences.

This Data Analytics Engineer role will be critical to help drive analysis, data science, and reporting across many diverse data sets to make sure we deliver impact from our data products and services. This includes working with raw data sets that leads to development of logical and physical data models, data wrangling and design / building of semantic layer that helps to create dashboards and models that drive insights and actions. This work will directly inform and influence multiple division’s strategies. This is a unique opportunity to shape the experiences, technologies, and products that millions of people will use.

The ideal candidate has a deep understanding of data modeling, SQL, data warehouses / data lake and data engineering skills. You will often serve as an internal expert about the data, what it means and how it can be used to solve business problems. You can demonstrate that you have experience deeply understanding the data structure and transformations required to develop a semantic layer for data analysts and scientists. We are seeking a highly motivated, detail-oriented engineer who is passionate about data and enabling data-driven decisions.

Primary Responsibilities

• Assist in analyzing, cleaning, and transforming datasets, collaborating with analysts and business users to help create actionable metrics that solve business questions.
• Write clean, efficient SQL queries and support the creation of reliable data structures to make data easily accessible and comprehendible.
• Follow and contribute to analytical engineering standards and best practices under the guidance of senior team members.
• Implement data quality tests and participate in ensuring the accuracy and reliability of data pipelines.
• Maintain clear documentation and apply strong coding best practices within daily analytical engineering tasks.
• Learn specific data domains and help prepare analytical datasets to support ad-hoc business analysis.
• Participate in requirement-gathering sessions alongside the team to clearly understand and help scope analytical requests from business, product, and software stakeholders.

Qualifications And Work Experience

• Practical experience in data analytics or relevant quantitative roles, demonstrating the ability to apply data concepts to real-world business challenges.
• Strong grasp of relational databases and a keen interest in learning modern data transformation and modeling techniques, focusing on the logic and "why" behind the data.
• Solid foundational data skills with an eagerness to expand knowledge into data architecture and modeling. Any hands-on experience with modern data tools (e.g., Snowflake, dbt, GitHub, or similar) is considered an advantage, but a passion for learning them is key.
• Clear communication skills, with the ability to discuss data findings and collaborate effectively with diverse groups of stakeholders.
• A curious, life-long learner with a genuine passion for data, who takes initiative to solve problems and continuously seeks to grow their technical and analytical skills.
• Ability to work collaboratively within Agile teams, showing enthusiasm, adaptability, and a commitment to delivering high-quality outcomes.

Education:

• Bachelor’s or Master’s degree in math, physics, computer science, engineering, business, finance, marketing, economics or related quantitative or computational field

Work Experience:

• 2+ years of related data analytics experience in relevant consulting, finance, data science or market intelligence functions

• Previous experience in a consumer electronics environment, particularly in a technical field, is a definite plus

• Previous experience with mobile app data is a plus

What's in it for you:

• Be a part of and work with a top notch, multidisciplinary, transparent, and agile team.

• Collaborate with people like you who want to solve problems and have fun together.

• Work on developing innovative Wellness products that improve people's lives.

• Excellent work life balance and a continuous learning environment.

• Highly competitive package as well as a comprehensive benefits program.

• We strive to help our employees and customers reach their fullest potential.

Are you interested in this position?

We’d love to know you better! Submit your application, by uploading your CV in English via the “Apply” button above.

For further information about the position please contact us via ITCareers_Portugal@bose.com.

Note

Thanks in advance for your application. After the online phase, the most successful candidates will be invited for an interview. In case you’re not contacted in the next 15 days, we will keep your application for future opportunities that may suit your profile best.

Are you interested in this position?

We’d love to know you better! Submit your application by uploading your CV in English via the “Apply” button above.

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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.