The Supply Chain Optimization Technologies (SCOT) organization, has an immediate
need for a creative business intelligence engineer (BIE) with a
passion for building systems that have a measurable impact. The right candidate
will be innovative and
technically versatile. You will have the opportunity to work with one of the
largest and most complex
warehouses in the world to gather insights using from across Amazon.
As a BIE, you should be an expert in the architecture of data warehouse
solutions for the enterprise
using multiple platforms. You should excel in the design, creation, management,
and business use of
extremely large datasets. Excellent business and communication skills are
required to work with
business analysts and data engineers to understand how best to design reporting
and analytics data
systems.
Key job responsibilities
Apply mining, quantitative analysis, and statistical models to understand how
our customers interact
with us and identify ways to improve the customer experience and meet our goals
• Build scalable solutions and self-serve platforms that will provide insights
to inform business decision
making
• Optimizing the performance of business-critical queries and dealing with ETL
job-related issues
• Gathering and understanding data requirements, working with the team to
achieve high quality data
ingestion and building systems that can process, transform, and store the data
in various relational and non-relational stores
• Dive deeply into technical details (e.g., key dependencies, design choices,
operability, etc.) with
engineering teams and drive constructive technical discussions. Extracting and
combining data from
various heterogeneous data sources
• Build and evaluate end-to-end designs for strengths and weaknesses (quality,
scalability, latency,
security, performance, data integrity, etc.)
• Create interactive visual dashboards with Tableau and QuickSight
• Write clear documentation, architecture documents and create an engineering
roadmap
• Exploring and learning the latest AWS technologies to provide new capabilities
and increase efficiency.
Members of this team will be challenged to innovate use the latest big data
techniques. We are looking
for people who are motivated by thinking big, moving fast, and exploring
business insights. If you love to implement solutions to complex problems while
working hard, having fun, and making history, this may be the opportunity for
you
A day in the life
Amazon offers a full range of benefits that support you and eligible family
members, including domestic partners and their children. Benefits can vary by
location, the number of regularly scheduled hours you work, length of
employment, and job status such as seasonal or temporary employment. The
benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- RRSP Basic Qualifications: - 3+ years of analyzing and interpreting data with
Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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 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 opportunity employer and does not discriminate on the basis
of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our
customers. If you have a disability and need a workplace accommodation or
adjustment during the application and hiring process, including support for the
interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
[https://amazon.jobs/content/en/how-we-hire/accommodations] for more
information. If the country/region you’re applying in isn’t listed, please
contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year.
Salary is based on a number of factors and may vary depending on job-related
knowledge, skills, and experience. Amazon is a total compensation company.
Dependent on the position offered, equity, sign-on payments, and other forms of
compensation may be provided as part of a total compensation package, in
addition to a full range of medical, financial, and/or other benefits.
Applicants should apply via our internal or external career site.
