Business Intelligence Engineer, Data Analyst, Analytics Specialist

4 weeks ago

Seattle, Washington, United States Amazon Full time
Job Summary

The Amazon Publisher Monetization team is seeking a Business Intelligence Engineer to play a key role in establishing scalable analytics solutions to drive long-term growth for our ad-supported media service. As a Business Intelligence Engineer, you will partner closely with product managers, business stakeholders, data engineers, and software engineers to generate usable metrics to support high-stakes decisions. You will go beyond report generation and invest in automation to scale the analytics needs for all business and technical stakeholders.

Key Responsibilities

* Partner with Product team to understand business requirements and implement solutions to support product plans.
* Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
* Implement training and documentation solutions that enable stakeholders to get the most out of our self-serve analytics tools.
* Develop and support analytical technologies that give our customers timely, flexible, and structured access to their data.
* Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.
* Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.
* Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models.
* Understand Amazon's data resources, which to use, how, and when.
* Conduct ad hoc data analysis and data quality investigations.

Requirements

* 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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.

About Amazon

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

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

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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