Business Intelligence Engineer, AMZL Strategic Planning - analytics Automation

Business Intelligence Engineer (BIE) II

Are you excited to drive high-visibility, strategic analytics solutions to help streamline Amazon's operations? AMZL Strategic Planning-Analytics Automation is seeking an experienced Business Intelligence Engineer (BIE), to lead the business analytics & automation in partnership with Data Scientists and Engineers (data, process). Our mission is to simplify analytics with innovative data products. This role is looking for a motivated individual with strong analytical, technical background to join our team as BIE II. In this role, you will be responsible for designing and supporting best-in-class business analytics solutions to help leadership make impactful business decisions. You will own the design, development of analytics solutions to support Topology Planning and Capacity Engineering functions. You will continue to raise the bar for creating scalable, efficient and automated processes for large-scale data analysis. Position requires excellent statistical, analytical abilities with deep knowledge of business intelligence solutions, data engineering and basic knowledge of Data Science. Successful candidate will be a self-starter, comfortable with ambiguity, capable of working in a fast-paced environment, with strong attention to detail. They are able to collaborate with customers to transform business problems into technical/BIE requirements and deliverables. Your cross functional collaboration inspires your peers and stakeholders to produce the best BIE/Analytics experience.

Key job responsibilities:

• Partner with Network Planning and Capacity Engineering leaders and proactively define analytical needs translating to BIE designs using Agentic AI solutions
• Continuously review and update 'visualization standard' for simplified analytics experience
• Design, develop, test solutions to ensure data management processes, visualization outputs are accurately representing the business insights
• Develop best practice to reduce coding effort by reuse where applicable; replace complex data handling steps with innovative design and simpler tools/utilities
• Drive peers and stakeholders for optimal analysis solutions and insist on highest standards when dealing with data, business logic usage
• Work backwards from KPIs used for business decisions and design analysis process to automate with simple solutions
• Use AWS S3, Redshift, Athena, Quicksight, Tableau to produce reliable BIE solutions. Enable seamless integration between BIE solutions and Strategic Planning, Excel models
• Working knowledge of Regression and Classification algorithms and ability to partner with Research / Data Scientists

A day in the life:

• Engage business leaders to understand challenges and translating to automation opportunities
• Review code (Python, SQL) for compliance
• Ensure data used meets privacy compliance expectations
• Inform leaders of progress, dependencies and outline roadmap- milestones
• Collaborate with business leaders to define 'automation+GenAI' solution OP1 and OP2 goals
• Host workshops with data products and enable cross functional, cross org usage
• Partner with ORBIT and influence Data Engineering solution improvements
• Partner with LastMile Research Science to improve ML model performance to support automation

About the team:

AMZL (Amazon Logistics) is the last mile leg of Amazon. We 'plan and design the Delivery Station Topology'. AMZL network continues to grow multi-fold in North America and Emerging Market countries, delivering better customer experience at speed to customers. This growth will help AMZL gain most of distribution network share, in every country across the world. AMZL Strategic Planning Team is the key, to set foundation for AMZL network expansion roadmap for 1-5 years horizon.

Basic Qualifications:

• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Knowledge of SQL and data warehousing concepts

Preferred Qualifications:

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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.