Business Intelligence Engineer

  • Seattle, Washington, United States
  • Jul 05, 2024
Full-time Analytics Business Analysis Business Intelligence Data Analysis Data Mining Data Science Reporting SQL Statistics & Operations Research

Job Description

Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? The Pricing and Analytics group on Amazon Retail Operations and Initiatives team is looking for a talented Senior Business Intelligence Engineer to drive world-class analysis and guide strategic business decisions.

At Amazon, you will be working in one of the world's largest and most complex data environments. The Business Intelligence Engineer occupies a unique role at the intersection of business, technology, finance, statistics, data mining, and social science.

To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you'll play an integral role in strategic decision-making.

The successful candidate will be comfortable with advanced SQL query design and data mining techniques, have strong analytical and communication skills, and have a passion for using data to drive business decisions. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause. You develop strong working relationships with business partners to define and understand key business questions and analyze data to answer those questions - driving strategic business decisions.

. Gather data and perform sophisticated analytical exercises
. Employ data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboards
. Drive standardization, simplification and automation of internal processes and data products
. Manage weekly and monthly business reporting and create relevant measurement dashboards
. Work with various stakeholders to understand business drivers, goals, and actionable outcomes using analytics
. Manage databases and work with technology teams to develop systems to support business needs

Basic Qualifications:

. BA/BS Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, Bioinformatics or related discipline
. 3+ years of relevant work experience in data science, business analytics, finance, business intelligence (BI), or comparable analytics positions handling large, complex data sets
. Advanced SQL and Excel skills to access and transform data into insights
. Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment
. Strong written and verbal communication skills to report compelling and concise data insights to leadership

Preferred Qualifications:

. MBA or advanced degree in an analytic field is desired
. Experience working with Tableau or similar data visualization tools and SAS/R/Python or similar statistical tools
. Experience conducting large scale data analysis to support business decision making
. Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations
. Experience leading cross-functional projects and effectively communicating with both business and technical teams


Information Technology and Telecommunication

Job Role


Job Reference Code


Experience Level

Mid Level