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Job Details
Posted date: Jul 30, 2024
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Location: Seattle, WA
Estimated salary: $137,300
Range: $89,600 - $185,000
Description
Amazon Private Brands (APB) is a fast-growing global business that is rapidly improving and expanding our brand offering to delight our customers. Our team is looking for an analytical and customer focused business intelligence engineer to join our team. This position will be responsible for developing and implementing analytical techniques to raise the bar on understanding of customer behavior as it relates to Private Brands. You will use your experience to develop solutions including ETLs, reports, dashboards, and analyses. In this role you will build data solutions to inform business outcomes with a primary focus on our ASIN Merchandising efforts, including images, titles, bullet points, product descriptions and catalog attributes.This role requires an individual to have strong analytical skills and experience, which can be combined to deliver results in a fast-paced environment. He or she will know how to quickly develop data solutions that improve customer and business outcomes. This person should also be comfortable working with a variety of stakeholders and partners including data scientists, software development engineers, and brand/category owners.
Key job responsibilities
- Lead ASIN Merchandising WBR Report, tracking the status of our broader portfolio meeting the ASIN Merchandising bar
- Lead ASIN Merchandising tooling development, allowing the broader organization to deep dive and prioritize opportunity areas.
- Support the broader Marketing & Discovery (M&D) organization's tooling and reporting, including traffic channel reporting, M&D WBRs, P0s, etc.
- Create and manage data pipelines that support the broader M&D organization
Qualifications
- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Extended Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 $89,600/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.
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