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Our mission: To be Earth's most customer-centric company.
Amazon Transportation Services (ATS) is seeking an exceptional Business Intelligence Engineer (BIE) to join the ATS Sustainability team. This is a unique, high visibility opportunity for someone with a passion to dive deep into disparate, large-scale data sets, surface data that provide unique insights to leaders of the ATS organization and ultimately have an impact on the reducing carbon emissions in transportation. The ATS Sustainability team works with stakeholders across Amazon to drive, report and implement initiatives that will help Amazon be carbon neutral by 2040. The team interfaces with Network Planning, Business Development, Finance, WW Sustainability, and Data Science teams to ingest data, compute metrics, and surface insights which help track the carbon intensity of Amazon shipments and identify opportunities that will not only save money and but also benefit the environment.
The ideal candidate will have excellent analytical abilities, outstanding business acumen and judgment, intense curiosity, strong technical skills, and superior written and verbal communication skills. S/he will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems. In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed.
The candidate will need to understand the complexities of a high growth, fast-paced, high performing organization and possess the ability to handle multiple, abstract projects while dealing with constant change. S/he should have a strong desire to achieve results, continuously raise the bar, and demonstrate an ability to effectively manage time, priorities and deliverables.
The primary responsibilities of this role include:
Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
Analyze key metrics to uncover trends and root causes of issues
Invent and innovate – Tell the story of business trends, patterns, and outliers through rich visualizations
Work closely with various stakeholders to define the information needed and how best to present it
Suggest and build new metrics and analysis that enable better perspective on business
Design and develop weekly, monthly, and quarterly dashboards, scorecards and reporting for the team and present insights to stakeholders
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Bachelor’s degree in Computer Science, Mathematics, Statistics or other quantitative field with 10 years of industry experience
Experience with SQL (5+ years) , data visualization tools (eg:Tableau, Quicksight), scripting for automation (e.g. Python) and cloud based technologies
Experience with ETL development, data model creation, data warehousing and creating databases in a business environment with large-scale, complex datasets
Proven ability to convert data into communicable business insights, problem-solving skills, project management skills, attention to detail, and exceptional organizational skills
Experience in gathering requirements and formulating business metrics for reporting
5+ years working with big data
Experience building scalable data pipelines
Experience working with relational and NoSQL databases Experience with Hadoop, Spark, or other data processing tools
BS, MS or equivalent real-world experience
Attention to detail and a passion for correctness
Have a track record of efficiently solving complex problem
Experience programming with Python, Hive, or similar
Experience installing, configuring, and managing AWS infrastructure
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.