drjobs Business Intelligence Engineer, Stores Finance Analytics & Insights

Business Intelligence Engineer, Stores Finance Analytics & Insights

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Seattle, WA - USA

Yearly Salary drjobs

$ 89600 - 185000

Vacancy

1 Vacancy

Job Description

Want to be at the forefront of building tools that drive Amazon profitability If so then Stores Finance Analytics & Insights is the right team for you!
As a Business Intelligence Engineer you will work with our Finance and Business stakeholders to create automated and scalable analytical tools that will ultimately be critical in driving the growth and profitability of the business. This includes building the infrastructure for regular reporting on business performance building insights into various profitability related programs and deep diving the assumptions behind each program to test our initial hypotheses and assumptions. You will leverage the data to provide key data-driven insights enable new opportunities and innovate on behalf of our business customers.

Key job responsibilities
Own design develop document and manage scalable solutions for new and ongoing metrics reports analyses and dashboards to support business needs.
Generating actionable insights through the development of metrics dashboards and deep dive analyses.
Serve as a technical business-metrics specialist and insight provider in the organization.
Acting as a key interface between our business customers and technical divisions.

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 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 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
- Experience in Statistical Analysis packages such as R SAS and Matlab

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.