Business Intelligence Engineer , GTMO DATA

Amazon • Seattle, WA

12d

About The Position

Come be a part of a rapidly expanding $35 billion dollar global business. At
Amazon Business, a fast-growing startup passionate about building solutions, we
set out every day to innovate and disrupt the status quo. We stand at the
intersection of tech & retail in the B2B space developing innovative purchasing
and procurement solutions to help businesses and organizations thrive. At Amazon
Business, we strive to be the most recognized and preferred strategic partner
for smart business buying. Bring your insight, imagination and a healthy
disregard for the impossible. Join us in building and celebrating the value of
Amazon Business to buyers and sellers of all sizes and industries. Unlock your
career potential.

At Amazon, we're working to be the most customer-centric company on earth. To
expand that mission, we’re now helping businesses and other institutional buyers
purchase the products they need at Amazon, through a fast-growing initiative
known as Amazon Business (AB). After a successful US launch in 2015, we have
achieved a $10 billion annualized run rate in 2018 and are working to move
faster and better satisfy current and potential business customers. Our aim is
to be the world’s best procurement provider for institutions of any size in any
area that we serve.

As a Business Intelligence Engineer , you will work with our Sales team to
create analytical tools that will ultimately be a key driver in driving the
growth of the company. You will leverage our data to drive operational
efficiencies, provide key data-driven insights, enable new opportunities and
innovate on behalf of business customers. You will drive future solutions that
will impact how we capture new customers and delight our existing ones, and
you'll have a lot of fun along the way!

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• 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

Nice To Haves

• 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

Responsibilities

• Developing the next generation data & analytics infrastructure to enable Amazon Business to support its customers and sales teams
• Generating actionable insights through the development of metrics, dashboards and deep dive analyses
• Providing customer insights as new initiatives are being identified, prioritized, implemented and deployed
• Manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed