Amazon is investing heavily in building world class advertising solutions that shift away from using traditional cookies/identifiers to new modeled machine learning solutions to achieve campaign performance. Our products are strategically important to the advertising business as the intersection of consumer privacy and new ways of advertising is at a critical period of change. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to build new avenues for advertisers.
As a business intelligence engineer you will have strong technical acumen and experience in developing reporting infrastructures and flexible front-end tools. You will conduct deep dive analyses of business growth opportunities and formulate conclusions for senior leadership. You will be working with a unique and gifted team developing exciting products for marketers and business leaders while collaborating with cross-functional teams. Often, the ideal set of data will not be available and you will have to think creatively about what is available in order to drive results. You will also be responsible for producing written recommendations and insights for key stakeholders that will help shape effective marketing and business strategies and tactics.
Key job responsibilities
* Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our business and marketing strategies and tactics.
* Develop new and innovative analyses to inform our stakeholders business and marketing strategy.
* Establish new, scalable, efficient, automated processes for tracking and reporting on progress of marketing campaigns and activity
* Design, develop and establish KPIs to provide strategic insights to drive growth and measure performance marketing
* Partner and with cross-functional teams to deliver business results
* Manage, maintain, and improve the team's self-service reporting infrastructure, pipelines, and dashboards
About the team
The ADSP Product Analytics team is responsible for building platform that can make access to insights and metrics as easy as shopping on Amazon.com. And working backwards from this, we provide PMs access to KPIs and other insights via interactive visualization. We also enable our customers to analyze the data through self-serve query capabilities provided in an easy to use platform using Amazon’s out of box solutions. In addition to analytics, we provide data engineering support by building a scalable infrastructure in AWS that ensures data availability, security and accuracy.
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.