Business Intel Engineer II, ORBIT

Amazon • Austin, TX

1d • Onsite

About The Position

The WW Amazon Logistics, Last Mile team manages the delivery of tens of millions of products weekly, ensuring on-time and cost-effective delivery to customers. Amazon Logistics is seeking a customer-focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement, management, innovation, and execution in last mile delivery. This position involves leading a BIE team to build analysis and visualization tools and processes for the growing Amazon Logistics business. The successful candidate will retrieve, integrate, visualize, and present critical data to improve the efficiency of the package delivery network and enable efficient management of a large global logistics system. This individual will collaborate with technical and business teams to optimize planning, execution, process improvement, and track progress against goals, requiring excellent analytical abilities, business acumen, and comfort with technical teams and systems. The role demands a self-starter comfortable with ambiguity, strong attention to detail, and experience with large-scale data. The AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team is integral to AMZL worldwide, meeting its business intelligence and analytics needs by providing information, insight, and decision support to various stakeholders including senior management, station operations, DSP management, Flex management, long-term planning, Ops technology, and network planning. The BI team maintains and improves metric reporting and AMZL's content in PerfectMile, supports WBR deck publication across NA, EU, and JP, and provides limited reports in Tableau and QuickSight for analytical purposes.

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Nice To Haves

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

• Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
• Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
• Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
• Lead and develop a team of Business Intelligence Engineers and Business Analysts
• Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
• Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation
• Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed