Business Intelligence Engineer, Amazon Marketing Cloud

Key Skills

Java Programming, Oracle, Python Programming, SQL, AWS, Data science techniques, Business Intelligence, Data Visualization, Data Modeling, NoSQL, Tableau, Amazon RedShift, Data pipelines, ETL frameworks, QuickSight, Data Warehousing

Job Description

Advertising Amazon Marketing Cloud (AMC) teams build Advanced Analytics System that are secure, privacy-safe, and dedicated cloud-based environment in which advertisers can easily perform analytics across multiple, pseudonymized data sets to generate aggregated reports. Inputs can include an advertiser’s own data sets, as well as their Amazon Advertising campaign events, such as impressions, clicks, and conversions. AMC reports can help with campaign measurement, audience refinement, supply optimization, and more, enabling advertisers to make more informed decisions about their cross-channel marketing investments. Our services ingest billions of behavioral signals every day. Speed, scale, and accuracy are critical to our success. Naturally, we need awesome Business Intelligence Engineers to help us in data transformation to help scale our business.

We’re looking for experienced, motivated Business Intelligence Engineer with a proven track record of giving a voice to data.

In this role you will drive the development of new metrics, datasets, data models, advanced dashboards and visual analytics, predictive analytics models, cloud-native data lake infrastructure, and casual data science experiments that will enable us to measure, grow, and scale Amazon Marketing Cloud as a product.

Why should I join your team?

Are you interested in building a green field product opportunity within Amazon Advertising? Do you want to have direct and immediate impact on millions of customers every day? If you are a self-starter, enjoy designing large scale distributed and orchestration systems, and are intrigued by ambiguous problems, this is a unique and rare opportunity to build a new initiative from scratch with some of the best full-stack engineers at Amazon. We pioneer the usage of modern full-stack native AWS technologies at Amazon scale.

BASIC QUALIFICATIONS

• 3+ years' experience as an Analyst, Business Intelligence Engineer, Data Scientist, or other related role
• 3+ years analyzing and interpreting data and providing business insights
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in writing complex SQL queries in Redshift, Oracle, NoSQL, or other similar databases
• Experience with automated self-service reporting tools
• Confidence in dealing with technical and non-technical stakeholders
• Ability to operate successfully and independently in a fast-paced environment
• Be comfortable with ambiguity and curious to learn new skills

PREFERRED QUALIFICATIONS

• Masters degree in Analytics, Data Science Math, Computer Science, MIS/CIS, Statistics or related discipline
• Experience with data modeling, data warehousing, and building ETL pipelines
• 5+ years' experience as a Data Analyst, Business Analyst, Business Intelligence Engineer, or other related role
• Experience working with cloud data repository services such as AWS redshift
• Experience and ability to effectively gather information from multiple data sources