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Job Information
Amazon Business Intelligence Engineer, Outbound Communications in Seattle, Washington
Description
Outbound Communications own the worldwide charter for delighting our customers with timely, relevant notifications (email, mobile, SMS and other channels) to drive awareness and discovery of Amazon’s products and services. We meet customers at their channel of preference with the most relevant content at the right time and frequency. We directly create and operate marketing campaigns, and we have also enabled select partner teams to build programs by reusing and extending our infrastructure. We optimize for customers to receive the most relevant and engaging content across all of Amazon worldwide, and apply the appropriate guardrails to ensure a consistent and high-quality CX.
Outbound Communications seek a talented Business Intelligence Engineer to join our team as we develop the next generation of automated and personalized marketing programs to help Amazon customers in their shopping journeys worldwide. Come join us in our mission today!
Key job responsibilities
Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
Collaborate with business teams, product managers, engineers and leadership to identify and prioritize customer and business problems
Partner with business and engineering stakeholders across multiple teams to gather data/analytics requirements
Develop, support, and continually improve self-service solutions such as dashboards and decks to help scale and sustain business operations
Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions
Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Seattle, WA, USA
Basic Qualifications
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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
Ability to operate successfully and independently in a fast-paced environment
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
Experience writing complex SQL queries
Excellent verbal and written communication skills
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 https://www.amazon.jobs/en/disability/us.
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.
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