Data Analytics Engineer

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. 

Bose is about better sound, but better sound is just the beginning. We’re about inventing new technologies that truly benefit people and creating a culture where innovation and teamwork are highly valued. Working at Bose, you’re encouraged to question conventional thinking in the relentless quest to create products and experiences that change people's lives.  Data analytics and data science are a crucial part of our mission, fueling the creation of new and innovative products, helping us to bring the right products to the right customers, and allowing us to astonish customers with carefully crafted and personalized experiences.
  
We are looking for a Data Analytics Engineer within our Data and Analytics Center of Excellence in our Lisbon Hub. 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: 

• Leverage DBT to mine, analyze, and transform large structured and unstructured datasets, collaborating with analysts, data scientists, and business users to create actionable metrics and datasets that solve business questions.  

• Provide expertise in query building and data modeling to ensure data is made available in a timely, efficient, and comprehendible means.

• Help define the strategy and standards for analytical engineering.

• Help define testing and data quality programs leveraging dbt Cloud.

• Partner with our other teams to ensure documentation, privacy, and best in class coding practices are implemented within Analytical engineering.

• Act as SME for specific data domains by enabling analytical data sets for ad-hoc analysis.

• Engage with key stakeholders in the business, product and software teams to clearly understand and scope analytical requests.   

Qualifications: 

• Proven expertise in architecting scalable data models in dbt/Snowflake, with a deep understanding of the distinction between analytical models built for specific business users or groups and foundational, reusable data models that enable enterprise-wide analytics.

• Strong technical skills, including experience with architecture, analytics, query design and data modeling and tools like Snowflake, dbt, GitHub, AWS, etc.

• Excellent communication skills, and the ability to explain deep technical results to diverse groups of stakeholders. 

• A life-long learner who is curious, has a passion for solving hard, ill-defined problems, has comfort taking initiative and who continuously seeks to improve their skills and understanding.

• Demonstrated ability to thrive in Agile teams as well as work independently to deliver 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: 

• 3+ 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 [email protected].

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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.