Business Intelligence Engineer, ORBIT Demand and Capacity Planning BI

Description

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.

Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes' to support our growing Amazon Logistics business.

The successful candidate will be able to effectively 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 work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities, business acumen and comfort with technical teams and systems.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.

Key job 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

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

About the team

The AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our stakeholder set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL.

The BI team maintains and improves metric reporting and AMZL's content in Perfect Mile. This team also support publication of W  decks across NA, EU and JP. We also support a limited set of reports in Tableau and Quick Sight dedicated for analytical purposes.

Basic Qualifications

* 3+ years of analyzing and interpreting data with Redshift, Oracle, No

SQL etc. 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 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

Preferred Qualifications

* Experience with AWS solutions such as EC2, Dynamo

DB, S3, and Redshift

* Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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