• Business Intelligence Engineer

    Location US-CA-Santa Clara
    Posted Date 2 weeks ago(8/7/2018 9:27 AM)
    Job ID
    Amazon.com Services, Inc.
  • Job Description

    Alexa is the Amazon cloud service that powers Echo, the groundbreaking new Amazon device designed around your voice. We believe voice is the most natural user interface for interacting with technology across many domains and are looking for people that will help us shape the future of Alexa.

    The Role: The HHO Kitchen team is seeking a Business Intelligence Engineer with a strong track record of taking on end-to-end ownership and delivering on large scale solutions in a fast-paced and dynamic business environment. This person will be a creative problem solver who is obsessed with delivering the best customer experience, as well as, a highly analytical, resourceful, customer focused, team-oriented individual who also has the ability to work independently under time constraints to meet deadlines. This person will also have excellent communication skill and work well with world class teams (internal or external). If you have these traits and are excited about making a big impact in the game industry, we're looking for you!

    • Use statistical and Machine Learning techniques to find what matters most, glean actionable insights and create algorithmic solutions.
    • Interface with business customers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions.
    • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
    • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
    • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
    • Build ETL, data pipeline jobs, appropriate aggregations, and automated delivery.
    • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
    • Up level analysis to include predictive modeling for customer attrition, acquisition targets based on customer profiles, etc.
    • See what others are not able to see – identify existing issues with processes, discover hidden opportunities.

    Basic Qualifications

    • Degree in Computer Science, Math, Engineering or equivalent experience
    • 5+ years of relevant work experience in Data Science, Business Analytics, Business Intelligence (BI), or comparable experience
    • Experience in data extraction, transformation, statistical analysis and predictive modeling
    • Experience building SQL, ETLs and cloud solutions in a business environment with large-scale, complex datasets
    • Deep, hands-on AWS experience including Redshift, RDS, S3, Kinesis and Firehose
    • Experience using business intelligence tools including Tableau, Quicksight and Alteryx
    • Experience in performance troubleshooting, SQL optimization, and benchmarking
    • Experience in gathering requirements and formulating business metrics
    • Experience in projects involving cross-functional teams and successfully completing complex, large scale projects

    Preferred Qualifications

    • Experience in Machine Learning
    • Deep knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, Vertica, MongoDB, DynamoDB, Cassandra
    • Strong architectural experience in context of deploying cloud-based data solutions
    • Thorough understanding of service-oriented architectures and data processing in high-volume applications.
    • Full SDLC experience (requirements gathering through production deployment)
    • Experience using Python, VBA and Java
    • Advanced knowledge of Linux and Unix

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share this job