See all roles

Experienced Full Stack Business Intelligence Engineer – Amazon Customer Service Analytics and Defect Elimination

Work from home Full-time role Hiring

Are you a data-driven professional with a passion for innovation and customer satisfaction? Do you thrive in fast-paced, dynamic environments where no two days are the same? If so, we invite you to join our Amazon Defect Elimination Analytics team as a Business Intelligence Engineer (BIE). As a key member of our team, you will play a pivotal role in driving Amazon's mission to deliver a defect-free customer experience.

About Us

At Amazon, we're committed to revolutionizing the way people live, work, and shop. Our Defect Elimination Analytics team is a critical component of this mission, leveraging cutting-edge technology and data-driven insights to identify and eliminate defects that impact our customers. As a BIE, you'll collaborate with cross-functional teams, including software developers, data engineers, research scientists, economists, program and product managers, to provide actionable insights and drive business growth.

A Day in the Life

As a Business Intelligence Engineer on our team, you'll be responsible for designing, developing, and maintaining scalable, automated, and user-friendly systems, reports, and dashboards to support our defect elimination program. You'll work closely with operations, business teams, economists, and machine learning teams to consult, develop, and implement key performance indicators (KPIs), automated reporting and process solutions, and data infrastructure improvements to meet business needs.

Key Responsibilities

* Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.

  • Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop, and implement KPIs, automated reporting/process solutions, and data infrastructure improvements to meet business needs.
  • Develop the end-to-end automation of pipelines for applications and ML models.
  • Apply analytical skills to extract meaningful insights and learnings from large and complicated data sets.
  • Serve as liaison with business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.

Essential Qualifications

* 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
  • Experience writing complex SQL queries
  • Bachelor's Degree

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

Skills and Competencies

* Strong business judgment and organization skills

  • Experience measuring product performance and collaborating with product owners to answer key questions
  • Detail-oriented, enthusiastic, and flexible
  • Ability to work in a fast-paced, dynamic environment with a strong team dynamic and welcoming culture
  • Excellent communication and problem-solving skills
  • Experience with big data technologies, statistical modeling, and natural language processing

Career Growth Opportunities and Learning Benefits

As a Business Intelligence Engineer on our team, you'll have the opportunity to:

  • Work with cutting-edge technologies and tools, including AWS, Redshift, and Tableau
  • Collaborate with cross-functional teams to drive business growth and innovation
  • Develop your skills in data visualization, statistical modeling, and natural language processing
  • Participate in training and development programs to enhance your technical and business skills
  • Contribute to the development of our defect elimination program and make a meaningful impact on our customers

Work Environment and Company Culture

Our team is a dynamic and collaborative environment that values innovation, customer satisfaction, and teamwork. We're committed to creating a workplace that's inclusive, diverse, and supportive of all employees. As a Business Intelligence Engineer, you'll have the opportunity to work with a talented team of professionals who share your passion for data-driven insights and customer satisfaction.

Compensation, Perks, and Benefits

Amazon offers a competitive salary, ranging from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. In addition to a full range of medical, financial, and other benefits, we offer:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package

How to Apply

If you're a motivated and results-driven professional with a passion for data-driven insights and customer satisfaction, we invite you to apply for this exciting opportunity. Don't worry if you don't meet every single requirement – we value a great attitude and a willingness to learn above all. Submit your application today and join our team in driving Amazon's mission to deliver a defect-free customer experience. Apply To This Job Apply for this job

You might like

Experienced Full Stack Business Intelligence Engineer III – Data Modeling, Analytics, and Deep Learning Solutions

Work from home Full-time role

Experienced Business Intern – Retail Operations and Data Analysis at Amazon Retail

Work from home Full-time role

Experienced Business Operations Intake Representative – Remote Work Opportunity for a Dynamic Team Player

Work from home Full-time role

Experienced Business Operations Manager - Incident Management for Disney's Direct to Consumer Team

Work from home Full-time role

Experienced Full Stack Business Product Analyst – Multi Level Decision Analytics Organization Development

Work from home Full-time role

CSC Trainer / REMOTE

Work from home Full-time role

Experienced Full Stack Business Product Analyst – Multi Level: Drive Business Success with Data-Driven Insights

Work from home Full-time role

Experienced Business Sales Professional – Work from Home Opportunity with Unlimited Earning Potential and Unparalleled Work-Life Balance

Work from home Full-time role

Experienced Entry-Level Business Specialist – Travel Industry and Remote Work Expert

Work from home Full-time role

Experienced Full Stack Business Strategy Lead – Hybrid Remote Work Opportunity for a Dynamic Team

Work from home Full-time role

Experienced Data Entry Clerk – Remote Shipping Record Management

Work from home Full-time role

Part Time Sales (16 and 17 Years Old) – arenafl...

Work from home Full-time role

National HR Director, Care Center Operations

Work from home Full-time role

Pantry Chef

Work from home Full-time role

Senior Linux Software Engineer

Work from home Full-time role

Experienced Data Entry Specialist – Remote Work Opportunity with arenaflex

Work from home Full-time role

HR Solution Specialist (m/w/d) Administration - befristet für 24 Monate HR Solution Specialist (m/w/d) Administration - befristet für 24 Monate

Work from home Full-time role

[Remote-Position] Travel Assistant (Remote)

Work from home Full-time role

Experienced Customer Service Representative – Tampa, FL (Remote/Hybrid)

Work from home Full-time role

Part‑Time Remote Distributed Systems Engineer (L4) – Data Platform & Big Data Solutions at arenaflex

Work from home Full-time role