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Business Intelligence Engineer , Infra Capacity Delivery (AMER)
AMAZON-HQ2 • Arlington, Virginia, United States | Herndon, Virginia, United States • onsite
FULL_TIME
Active
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Job Details
Company
amazon hq2
Location
Arlington, Virginia, United States | Herndon, Virginia, United States
Work Type
onsite
Job Type
FULL_TIME
Posted
January 1, 1970
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation
of all AWS global infrastructure. In other words, we’re the people who keep the
cloud running. We support all AWS data centers and all of the servers, storage,
networking, power, and cooling equipment that ensure our customers have
continual access to the innovation they rely on. We work on the most challenging
problems, with thousands of variables impacting the supply chain — and we’re
looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply
chain specialists, security experts, operations managers, and other vital roles.
You’ll collaborate with people across AWS to help us deliver the highest
standards for safety and security while providing seemingly infinite capacity at
the lowest possible cost for our customers. And you’ll experience an inclusive
culture that welcomes bold ideas and empowers you to own them to completion.
We are seeking a Business Intelligence Engineer professional in Seattle, WA or
Herndon, VA who can operate with a startup mentality while partnering with
managers and business leaders to deliver sound, data-backed recommendations and
insights, identify areas of improvement and suggest and implement solutions.
The ideal candidate will be highly analytical, excited about data mining and
generate insights that will influence the direction the organization. You will
be curious and comfortable digging deep into data and developing core metrics to
identify areas of improvement and partner with the business to find effective
solutions. You will develop new ways to measure and track our performance, and
improve the customer experience by building robust technical and analytical
solutions to help us better understand customer needs. You will empower data
driven decision making through implementing principles of data mining, data
modelling, and analytical skills to define and measure metrics for evaluating
health of the business. You will be able to extract, integrate and work on
critical data to build out data pipelines, automate reports and dashboards to
communicate your findings and leverage self-service tools to internal
stakeholders.
Key job responsibilities
• Design, develop, implement, test, document, and operate large-scale,
high-volume, high-performance data structures for business intelligence
analytics.
• Implementing data structures using best practices in data modeling to provide
on-line reporting and analysis using business intelligence tools and a logical
abstraction layer against large, multi-dimensional datasets and multiple
sources.
• Gathering business and functional requirements and translating the gathered
requirements into robust, scalable, operable solutions that work well within the
overall data architecture.
• Analyzing source data systems and driving best practices in source teams.
• Analyzing large amounts of data, discovering and solving real world problems,
and building metrics and business cases to help business teams to make
decisions.
• Participating in the full development life cycle, end-to-end, from design,
implementation and testing, to documentation, delivery, support, and maintenance
to produce comprehensive, usable dataset documentation and metadata.
• Evaluating and making decisions around dataset implementations designed and
proposed by peer data engineers. Identifying business process improvements from
the data level.
• Analyzing and evaluating business process, and through data driven insights
proposing and implementing business process improvement.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred
qualifications and skills listed in the job description, we encourage candidates
to apply. If your career is just starting, hasn’t followed a traditional path,
or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS
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