Business Intelligence Engineer, Workforce Solutions - Analytics and Tech

In Amazon People Technology, it’s using modern technologies to solve complex human problems at scale. We deliver an engaging, intuitive, personalized experiences that empower employees to quickly take control of their work life anytime, anywhere.
The Workforce Solutions team is seeking a talented Business Intelligence Engineer to join our cross-functional team of software engineers, product and program managers, business intelligence engineers, and designers to help turn big ideas into practical solutions at scale. You will work with a team of engineers, scientists and economists who are using machine learning to test and solve the staffing problems at Amazon warehouses. Your work will directly impact our associates in form of their shift selection or compensation.
This will be a great fit if you get excited by partnering with key stakeholders to dig deep into the business challenges to understand and identify insights that will enable us to meet associate needs at a global scale. You need excellent analytical abilities as well as business acumen and an ability to tie together from across Amazon to help enable effective decision making. An ability to communicate insight to the business via development and implementation of ongoing and subject-specific reporting artifacts is a critical skill in this role.


Key job responsibilities
• Gather and translate business requirements into scalable solutions that work well within the overall data architecture.
• Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance of our products.
• Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions.
• Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
• Collaborate with date engineering and product management team to develop solutions that utilize the highest standards of analytical rigor and data integrity.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.