Business Intelligence Engineer - Logistics, ORBIT (Hiring Immediately)

apartmentAmazon TA placeLondon scheduleFull-time calendar_month 

Business Intelligence - Amazon Logistics:

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 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 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 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
requirements and delivering complete 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).
  • Analyse and visualize large scale geo-spatial logistics and transaction data
to determine 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.

### BASIC QUALIFICATIONS
  • Experience in 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 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
  • Experience with SQL
  • Experience in the dataBI space
### PREFERRED QUALIFICATIONS
  • 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 that
employing 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 equal
opportunity 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 visit

https:www.amazon.jobscontentenhow-we-hireaccommodations.

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