Business Intelligence Engineer
Vor 7 Tagen
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 building out analysis and
visualization tools and processes to support our growing Amazon Logistics
business in Europe.
The successful candidate will be owning part of the infrastructure and helps
internal AMXL teams
The Business Intelligence Engineer II (BIE II), is the single point of contact
for the AMXL BI Data Engineering (DE) Initiatives.
This person is responsible for (1) managing intake, coordinating and gathering
requirements from business partners from EU7 AMXL Network. With expansion
managing an increase of data volume, and the need for more cost-efficient and
scalable pipelines and tech solutions. (2) Prioritizing initiatives, (3)
Design and implement technical solutions with an appropriate strategy and data
set design, and (4) Drive best practices in Operational Excellence.
The successful candidate will be able to effectively retrieve, integrate,
visualize and present critical data to Senior Leaders. This individual will
work with technical and business teams to optimize planning, execution,
process improvement and track progress against goals.
Key job responsibilities
• Partner with internal stakeholders across multiple teams, gathering
requirements and delivering complete solutions.
• Partner with BIEs and Data Engineering teams to prioritize and define AMXL
data and BI development needs.
• Work with in-house scientists, global supply chain, transportation and
logistics teams to identify new BI capabilities and projects.
• Own a share of admin responsibilities for the teams Analytics Solution
(Redshift cluster, Quicksight account, etc.).
• Drive key tech strategical projects for the EU AMXL team.
• Develop queries and visualizations for both ad-hoc requests and long term
projects, as well as recurrent business review 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
### 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.
mwd
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