Business Intelligence Engineer, Ads Marketing Decision Science

Description

Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising product with a relentless focus on the customer, you’ve come to the right place.

Open to hiring in NYC, Seattle, and Santa Monica.

Key job responsibilities

Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.

Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.

Support central BI team in reporting on global marketing efforts.

Promote best practices in ETL and mentor your team.

A day in the life

Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices

Use analytical and statistical rigor to answer business questions and drive business decisions

Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation

Improve the Knowledge management environment by providing guidance in technical documentation / working papers

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.

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.