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.

Job DescriptionDATA & ANALYTICS ENGINEER

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. 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 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 comprehensible manner.
• Help define the strategy and standards for analytical engineering.
• Help define testing and data quality programs leveraging dbt Cloud.
• Partner with 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 datasets for ad-hoc analysis.
• Engage with key stakeholders in business, product, and software teams to clearly understand and scope analytical requests.

Qualifications:

• Extensive background and demonstrated track record in building analytical models in SQL.
• Strong technical skills, including experience with analytics, query, and data visualization tools.
• Experience with Snowflake and dbt (additional experience with Python is preferred).
• Excellent communication skills, with the ability to explain deep technical results to diverse groups of stakeholders.
• A lifelong learner who is curious, passionate about solving hard, ill-defined problems, and comfortable taking initiative.
• Enjoy working in a team environment as well as independently.

Education:

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

Work Experience:

• 3+ years of related data analytics experience in consulting, finance, data science, or market intelligence functions.
• Previous experience in a consumer electronics environment is a plus.
• Previous experience with mobile app data is a plus.

What’s in it for you:

• Be part of a top-notch, multidisciplinary, transparent, and agile team.
• Collaborate with people 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 c