Logistics Data Solutions Architect (Hiring Immediately)
Amazon TA London Full-time
Business Intelligence - Amazon Logistics:
Have you ever ordered a product on Amazon and when that box with the smilearrived 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 andtechnically 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 in Europe and WorldWide.
The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the packagedelivery 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 as
well as outstanding 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.
Core Job Responsibilities include:- Partner with internal stakeholders across multiple teams, gathering
- Partner with Data Engineering and Software Development Engineers to
- Work with in-house scientists, global supply chain, transportation and
- Conduct deep dive investigations into operations execution and business
varies by opportunity).
- Analyse and visualize large scale geo-spatial logistics and transaction data
analysis report with recommendation.
- Serve as liaison between the WW Planning and Analytics team and the
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.
### BASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL
- Experience with data visualization using Tableau, Quicksight, or similar
- 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
- Experience with SQL
- Experience in the dataBI space
- 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
Amazon is an equal opportunities employer. We believe passionately thatemploying a diverse workforce is central to our success. We make recruiting
decisions based on your experience and skills. We value your passion to
discover, invent, simplify and build. Protecting your privacy and the security
of your data is a longstanding top priority for Amazon. Please consult our
Privacy Notice (https:www.amazon.jobsenprivacy_page) to know more about
how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis of race, national
origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with
disabilities who would like to request an accommodation, please visithttps:www.amazon.jobscontentenhow-we-hireaccommodations.
Michael PageLondon
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