BI Engineer, AWS Finance, Analytics and Science Team

Amazon • Seattle, WA

3d

About The Position

AWS is one of Amazon’s largest and fastest growing businesses, serving millions
of customers in more than 190 countries. We use cloud computing to reshape the
way global enterprises use information technology. We are looking for
entrepreneurial, analytical, creative, flexible leaders to help us redefine the
information technology industry. If you want to join a fast-paced, innovative
team that is making history, this is the place for you.

AWS Central Economics & Science (ACES) drives best practices for objectively
applying economics and science in decision making across AWS. The team
collaborates with AWS science and business teams to identify, frame, and analyze
complex and ambiguous problems of the highest priority. Through data-driven
insights and analytical resources, ACES supports strategic decision-making
across the AWS global organization, including sales operations and business
performance optimization.

The successful candidate will be an expert with SQL, ETL (and general data
wrangling), and have exemplary communication skills. The candidate will need to
be comfortable with ambiguity in a fast-paced and ever-changing environment, and
able to think big while paying careful attention to detail. The candidate will
know and love working with business intelligence tools and can partner with
customers to answer key business questions.

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
• 3+ years of business intelligence and analytics experience

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

• Work with business customers to gather requirements and deliver complete data analytical solutions
• Learn why customers are asking for data and what their underlying questions and business goals are
• Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions
• Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation
• Drive data democratization throughout the organization, enabling others to self-serve their data needs

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