Business Intelligence Engineer, Amazon Customer Service

Amazon

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Austin, TX, USA • Seattle, WA, USA

$89,600 - $185,000

Data

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Enterprise SaaS

Description For Business Intelligence Engineer, Amazon Customer Service

Amazon's Defect Elimination Analytics team is seeking a Business Intelligence Engineer to drive towards a defect-free customer experience. This role combines data analysis, machine learning, and business intelligence to identify and eliminate customer experience defects. You'll work with Software Developers, Data Engineers, Research Scientists, and Product Managers to provide insights on customer feedback and create KPIs.

The position offers exposure to cutting-edge big data technologies and statistical modeling, working in a fast-paced, startup-like environment within Amazon. You'll be responsible for developing automated systems, partnering with various teams, and building data pipelines while applying analytical skills to extract meaningful insights from complex datasets.

The ideal candidate should have strong business judgment, organizational skills, and experience with data analysis tools. You'll be part of a team that values collaboration, innovation, and customer-focused solutions. The role offers competitive compensation ranging from $89,600 to $185,000 based on location, plus comprehensive benefits including medical coverage, 401(k), and parental leave.

This is an excellent opportunity for someone who wants to make a significant impact on Amazon's customer experience while working with advanced analytics and machine learning technologies. The role combines technical expertise with business acumen, offering growth potential in both areas.

Last updated 3 months ago

Responsibilities For Business Intelligence Engineer, Amazon Customer Service

Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards
Partner with operations/business teams/economist/machine learning teams to develop and implement KPIs
Develop end-to-end automation of pipelines for applications and ML models
Extract meaningful insights from large and complicated data sets
Serve as liaison with business and technical teams to achieve project objectives

Requirements For Business Intelligence Engineer, Amazon Customer Service

Python

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
Experience writing complex SQL queries
Bachelor's Degree

Benefits For Business Intelligence Engineer, Amazon Customer Service

Medical Insurance

Dental Insurance

Vision Insurance

Parental Leave

401k

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Amazon

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Austin, TX, USA • Seattle, WA, USA

$89,600 - $185,000

Data

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Enterprise SaaS

Amazon

Explain circular linked lists with advantages, disadvantages, use case, code snippets, and loop detection.

Data Structures & AlgorithmsMedium

Explain the concept of a circular linked list. Describe its advantages and disadvantages compared to a singly linked list. Provide an example of a scenario where a circular linked list would be a suitable data structure, and write code snippets in Python or Java to demonstrate how to insert a node into a circular linked list and traverse the list. Explain how to detect if a circular linked list has a loop.

Linked Lists

Amazon

How would you design an elevator system for a 20-story building considering various factors and edge cases?

System DesignMedium

Elevator System Design Design an elevator system for a 20-story building. Consider the following: Number of Elevators: How many elevators would you recommend, and why? Elevator Capacity: What should be the capacity (in terms of weight and number of people) of each elevator? Algorithm for Request Handling: Describe an algorithm for efficiently handling elevator requests, considering factors like minimizing wait times and energy consumption. Example: Should the elevator always go to the closest floor first, or should it consider the direction of travel? Edge Cases and Error Handling: How would you handle edge cases such as: Elevator malfunction? Power outage? Overweight elevator? Simultaneous requests from multiple floors? Optimization: How can you optimize the system for peak hours (e.g., morning rush hour, lunch break)? Consider strategies like: Designating specific elevators for up/down travel during peak times. Implementing a learning system that adapts to usage patterns. User Interface: Describe the user interface (both inside the elevator and on each floor) and how it provides feedback to users. Scalability: How would the design change for a 50-story or 100-story building? What are the limitations of your current design? Explain your design choices and justify them with appropriate reasoning. Focus on creating a robust, efficient, and user-friendly elevator system.

Arrays

Dynamic Programming

Greedy Algorithms

Graphs

Recursion

Strings

Trees

Amazon

Describe a time you disagreed with a teammate

Behavioral

Describe a time when you and a teammate had a fundamental disagreement about a project. What was the disagreement about? How did you approach resolving the disagreement? What was the outcome, and what did you learn from the experience?

Interested in this job?

Jobs Related To Amazon Business Intelligence Engineer, Amazon Customer Service

Business Intelligence Engineer - Fire TV, FireTV

Amazon

Business Intelligence Engineer role at Amazon Fire TV team, focusing on data analytics and insights to drive product strategy and customer engagement.

Software Development Engineer, GTC

Amazon

Senior Software Development role at Amazon FinTech building enterprise-scale data platforms and financial systems.

Data Engineer II, ITA - Workforce Intelligence

Amazon

Data Engineer II position at Amazon's ITA team, focusing on building scalable data infrastructure and ETL pipelines for talent acquisition systems.

Business Intelligence Engineer, Customer Service

Amazon

Business Intelligence Engineer role at Amazon focusing on metrics, analytics, and data visualization for Amazon Business Customer Support.

Business Intelligence Engineer, Advertising Measurement Research

Amazon

Business Intelligence Engineer role at Amazon Advertising focusing on measurement research, data analysis, and visualization with competitive compensation and benefits.