Data Analytics Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

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 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:

• 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 implement & roll-out new technologies like 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:

• 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, dbt, and Python is preferred.
• 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.
• Enjoys 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 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. 

Bose is an equal opportunity employer that is 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.