Easter Seals Jobs

Description

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? How Amazon reliably maintains its network? Are you interested in joining a global reliability team at Amazon? If so, the Amazon RME team is for you. This is an opportunity to expand your knowledge and support a multi-disciplinary analytics team. Amazon aims to be Earth's most customer-centric company, providing a wide range of products online.

We're looking for a Business Intelligence Engineer to join our multi-disciplinary team of business intelligence engineers, business analysts, TPMs, and product managers. In this role, you will apply your analytical skills to analyze data and provide recommendations to help RME deliver excellent service to the Amazon network. You will work closely with PMs and BI Managers in one of the world's largest data warehouse environments, using historical information and real-time data to provide solutions. You will also have the opportunity to learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. Join us in this dynamic environment, where you can work on challenging analytical problems, collaborate with other engineers, and deliver reporting at a massive scale.

A day in the life

You build mid-size to large BI solutions or components of larger solutions. Your focus is at the team level, working on a major portion of existing or new BI artifacts (e.g., contributing to the team’s datamart) or owning a difficult report or analysis.

You assume responsibility for the code, queries, reports and analyses you inherit or produce. You get your analyses and code reviewed. You test your code by validating outputs against source data, business logic, and related metrics

Basic Qualifications

• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

• Experience with SQL

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

• Experience with scripting language (e.g., Python, Java, or R)

• Experience in the data/BI space

• Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)

Preferred Qualifications

• Master's degree, or Advanced technical degree

• Knowledge of data modeling and data pipeline design

• Experience with statistical analysis, co-relation analysis

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

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 $74,100/year in our lowest geographic market up to $165,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.