Senior Business Intelligence Engineer, Lifecycle Marketing Job in Amazon

DESCRIPTION

The Lifecycle Marketing team creates fun and engaging experiences on the Amazon app -- our experiences are India first, and build for the world wide customer.

We analyze customer behavior on the app, across different Amazon businesses such as Retail, Payments, Gaming, and Prime to understand how people interact with various features and experiences in the app and determine the next best action for them.

We present these actions systematically throughout the app, guided by data models that predict the customer's likelihood to take an action. We also build and leverage intelligence to guide us on how incentives and rewards influence these actions.

Our team owns games in the Amazon app, and we build experiences that are engaging and become a part of people's everyday lives.

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We are looking to add an experienced business intelligence engineer who is interested in data modeling and data science to help us accelerate our investment in this area. Our work is unprecedented and requires team members to bring (i) strong problem solving ability in a highly ambiguous uncharted space, (ii) clear communication and (iii) speed in delivering results. This role will be a stepping stone for a career path in data science.

BASIC QUALIFICATIONS

5+ years of experience as an analyst or engineer in the data/BI space
Experience working directly with business stakeholders to translate between data and business needs
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with SQL
Masters degree in Science, Statistics, Math or Engineering, or a related discipline
7+ years of relevant work experience in business intelligence, analytics, data engineering or related field
Proven track record of synthesizing large data sets to derive actionable insights
Demonstrated success in leading cross organizational projects with multiple stakeholders
Highly proficient in using ETL manager to write and optimize SQL queries
Knowledge of data mining and working knowledge of at least one statistical software (SAS, R, Python, etc.)
Highly proficient in at least one visualization product (Tableau, Looker, Amazon QuickSight, etc.)
Excellent communications skills (written and oral) to drive recommendations, articulate trade-offs, and communicate plans to senior executives

PREFERRED QUALIFICATIONS

PhD in Computer Science, Engineering, Math, Statistics, Data Science or related discipline
Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Knowledge of scripting for automation (e.g. Python, Perl, Ruby)