Amazon Hiring for Business Intelligence Engineer, Catalogue Discovery Trust at Seattle, Washington Full Time

Description

Amazon has built a reputation for excellence with recent example of being named the #1 most trusted company for customers.

CDT Team is looking for a BI Engineer to support various initiatives. The role will involve conducting analysis to drive key business decisions and shape the strategic direction of projects. The role will also require deep diving key metrics and using insights to make recommendations for internal process changes and reporting. This role will also be responsible for leadership reporting using AWS BI tools.

Key job responsibilities

Translate ambiguous business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.

Strong SQL

Ability to use BI tools such as AWS QuickSight

WBR reporting

Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases.

Recognize and adopt best practices in reporting and analysis; data integrity, test design, analysis, validation and documentation.

Monitor and troubleshoot operational or data issues in data pipelines.

Review and audit existing ETL jobs and SQL queries and data pipelines.

Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.

Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, visualizations etc. to support analytical and business needs.

Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.

Strong ability to work in the fast paced work environment

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 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

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.