Business Intelligence Engineer II, Alexa Devices Business Insights

Amazon • Bellevue, WA

4h

About The Position

The Business Intelligence Engineer will be part of a high-visibility, growth in
a dynamic, entrepreneurial analytics team. We are seeking an exceptionally
talented and deeply focused BI Engineer with analytical skills who will build
some of the largest reporting objects in Devices Forecasting space, contribute
to business outcomes by analytics while also providing engineering services to
our managed and centralized Tableau and AWS QuickSight dashboards. This is a
unique early-stage opportunity to build the largest Amazon Devices BI
environments of present day. The role holder will build their know-how rapidly
and thrive in Amazon's fast-paced, Day 1 culture.

You know and love solving problems using data, working with business
intelligence tools, can build ETL pipelines, support statistical models using
multidimensional data sets and can partner with business owners to answer key
questions. You are analytical, innovative, creative, disruptive, and you don’t
give up. As part of Alexa devices BI team you will work with both structured and
unstructured datasets while using a combination of AWS and internal amazon
tools.

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 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

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

• Interface with product managers, data engineers and software developers, gather requirements and deliver complete analytics/reporting solutions.
• Own the design, development, and maintenance of datasets, metrics, reports, analyses, etc. to drive key business decisions.
• Build and maintain Tableau or Quicksight Dashboards. Create data cubes and automated pipelines to power these dashboards.
• Help product teams with analytical deep dives to help support MBRs.

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