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Description

Selling Partner Growth organization's vision is to empower Selling Partners with tools and programs that make Amazon store the premiere destination for new sellers, and create the best place to build brands and achieve long-term, sustainable growth. One of the ways we make progress towards this vision is through delivering relevant, trust-worthy, and globally optimized action recommendations to our Selling Partners.

As a Business Intelligence Engineer on the Growth

Recommendations team, you will work with our product, tech and science teams to create automated and scalable analytical tools that will ultimately be critical in driving the growth and expansion of our recommendations. This includes building and managing the data pipelines for our existing and upcoming recommendations, as well as supporting deep dives and driving decision making on recommendation launches or decommissioning. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our Selling Partners.

Key job responsibilities

• Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs.

• Generate 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.

• Act as a key interface between our stakeholders and product team.

• Leverage extensive data sets to derive strategic insights that shape business decisions on recommendation coverage and content.

• Present insights to senior stakeholders in product and tech teams.

• Work in a fast paced, global environment, across various functional teams.

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

- Bachelor's degree or equivalent

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 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $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.