ASTA Analytics support Worldwide Amazon Store Talent Acquisition (WWAS TA) on all things data infrastructure, reporting, and insights. ASTA Analytics is seeking a Business Intelligence Engineer (BIE) to partner with WWAS TA's Central Diversity Team (CDIT) and support the curation, automation, and development of Diversity-related datasets and reporting products. Your contributions will be instrumental WWAS TA's ability to track to and achieve various diverse hiring goals and initiatives. The succ... more details
DESCRIPTION
ASTA Analytics support Worldwide Amazon Store Talent Acquisition (WWAS TA) on all things data infrastructure, reporting, and insights. ASTA Analytics is seeking a Business Intelligence Engineer (BIE) to partner with WWAS TA's Central Diversity Team (CDIT) and support the curation, automation, and development of Diversity-related datasets and reporting products. Your contributions will be instrumental WWAS TA's ability to track to and achieve various diverse hiring goals and initiatives. The successful candidate will be a self-starter comfortable with ambiguity, have a strong attention to detail, an ability to work in a fast-paced environment, and be driven by a desire to innovate in this space.
Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly reports and dashboards
Collaborate with partnering program owners to understand requirements and translate them into data and reporting solutions.
Work closely with data engineering, product management, BIEs, Data Scientists and stakeholders to deliver features to customers
Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Nashville, TN, USA | 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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
