Job Description
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.
We have built a highly respected business intelligence product insight team which is focused on enhancing BI tools that are used by WW AMZL, ranging from reporting historic values (business KPIs) to conducting deep dive analyses using visualization, and running business reviews that generate in-depth business discussions and forward looking actions. The products we influence are large-scale distributed systems handling millions of packages being shipped through the AMZL network.
We are looking for an innovative, highly-motivated and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams, product managers, program managers and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall customer experience. You will have an opportunity to lead medium to large scale projects along with owning multiple domains within the team.
Key job responsibilities
Stakeholder Collaboration:
- Earn the trust of your stakeholders by constantly obsessing over their business/data needs, and helping them solve their problems by leveraging technology.
- Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
- Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
Projects & Reporting:
- Analyze/visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.
- Manage and execute entire projects from start to finish including stakeholder management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.
- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation
- Extract, transform, and load data from multiple sources using SQL, Python (scripting), Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions)
- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.
- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
About the team
This role is within Amazon Logistics (AMZL) ORBIT (Operations Reporting, Business Intelligence, and Technology) team. This 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 customer 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.
BASIC QUALIFICATIONS
- 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
Job Tags
Full time, Worldwide, Flexible hours,