Business Intelligence Engineer, Rapid & Rural Logistics (R2L)
at Amazon
Posted 8 hours ago
No clicks
- Compensation
- $130,400 – $176,300 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Senior Business Intelligence Engineer focused on Rapid & Rural Logistics (R2L) at Amazon. This role emphasizes automation, operational insight, and the development of tools and dashboards to support large-scale, multi-source data workflows. You will design and implement automation solutions, build deep-dive analytics, and partner with delivery and operations teams to drive data-driven decisions using SQL, ETL, Python, and BI tools like QuickSight and Tableau. The position requires strong problem-solving skills, ability to handle ambiguity, and experience with AWS and data modeling in a fast-growing environment.
The ideal candidate will draw upon advanced analytical, problem solving skills, and a passion for building solution towards automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders and technical teams to drive for automation of our operational processes for future innovation. They must be a self-starter, comfortable with ambiguity, and able to think big and be creative to support a rapidly growing business.
Key job responsibilities
The successful candidate is a seasoned data professional with a strong bias for action, Proficiency with data visualization tools like QuickSight and Tableau, data modeling, ETL (Extract, Transform, Load), SQL, and scripting skills.
Own the design, and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions.
A day in the life
• Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points
• Think creatively to identify opportunities to solve problems using technology-driven solutions
• Design and implement the optimal automation solutions to address stakeholder needs
• Respond to ad-hoc requests and provide support as needed
• Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing
• Documentation
Basic Qualifications
- 10+ years of professional or military experience- 5+ years of SQL experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually

