Business Intelligence Engineer

Short Description

As a Business Intelligence Engineer, you will work directly with Data Scientists and Software Development Engineers to monitor the flavor/ trend of fraud worldwide and create appropriate actions to respond in a collaborative environment.

Job Description

Are you looking to solve exciting Fraud challenges in the cloud? Do you want to work on a Cloud business that is growing multiple fold annually? If so, we want to talk to you! We are seeking a talented Business Intelligence Engineer to help us evolve our processes and to improve customer experience across the globe.
The mission of the Fraud Prevention Team is to keep the AWS platform a safe and trusted place for our customers and partners. We achieve this goal by identifying and preventing fraud and abuse for all AWS services, worldwide. Every day fraudsters attempt to steal our services. We use extensive data and machine learning models to build software solutions to detect and prevent such activities.
As a Business Intelligence Engineer, you will work directly with Data Scientists and Software Development Engineers to monitor the flavor/ trend of fraud worldwide and create appropriate actions to respond in a collaborative environment. There are no walls, and success is determined by your ability to dive deep, and understand the subtle demands new and complex services will place upon systems and teams.

What would I do?
  • Lead day-to-day review of emerging fraud threats and work with the broader team to drive responses to combat them
  • Deep dive on the problems using SQL and scripting language like R, Python and internal dashboards and drive short term and long term resolutions
  • Handle escalations from AWS Management for Fraud and related activities
  • Be the primary point of contact during fraud outbreaks ‚?? including analyses to identify responses and applying responses.
  • Drive the design and development of tools to aid in operations and automation, such as creation of right dashboards to improve monitoring fraud
  • Collaborate in a fast paced environment with multiple teams and customers in a dynamic entrepreneurial organization
  • Ability to perform crisis management.
  • Ability and willingness to provide Fraud response support during off hours.
  • Take part in a "follow the sun" rotation split between Seattle and Bangalore sites, including weekends and holidays

Basic Qualifications
  • Bachelor‚??s degree in Mathematics, Statistics, Computer Science or in another related field
  • 4+ years of hands-on relevant , technical industry experience
  • Able to write SQL scripts for analysis and reporting
  • Ability to dive deep into complex technical problems and drive change
  • Excellent written and verbal communication skills
  • Excellent problem solving skills with a strong attention to detail

Preferred Qualifications
  • Master's degree in Mathematics, Statistics, Computer Science or in another related field
  • Demonstrated skill and passion for operational excellence
  • Previous work with fraud analytics
  • Understanding of Statistical Analysis, modeling and Machine Learning techniques

Business Intelligence Engineer
Associate Computer Full-time Engineering | Business Development | Information Technology Machine Learning Engineer
Amazon.com, Inc. is an American electronic commerce and cloud computing company that was founded on July 5, 1994 by Jeff Bezos and is based in Seattle, Washington. The tech giant is the largest Internet-based retailer in the world by total sales and market capitalization. Amazon.com started as an online bookstore and later diversified to sell DVDs, Blu-rays, CDs, video downloads/streaming, MP3 downloads/streaming, audiobook downloads/streaming, software, video games, electronics, apparel, furniture, food, toys, and jewelry. The company also produces consumer electronics notably, Kindle e-readers, Fire tablets, Fire TV, and Echo and is the world's largest provider of cloud infrastructure services (IaaS and PaaS). Amazon also sells certain low-end products like USB cables under its in-house brand AmazonBasics.