Business Intelligence Engineer, Amazon Customer Service

Amazon; Seattle (WA); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Business Intelligence Engineer to join their dynamic Customer Service team. This role focuses on leveraging data to enhance customer experiences by identifying and eliminating defects across various marketplaces. The ideal candidate will collaborate with talented Data Engineers and fellow BIEs to develop reliable solutions that support analytical needs. If you are passionate about data and eager to make a global impact, this opportunity offers a collaborative environment where you can thrive and contribute to meaningful business outcomes.

Qualifications

• 3+ years of experience in data analysis and interpretation.
• Proficient in SQL and Python for data processing and modeling.

Responsibilities

• Design and maintain scalable solutions for metrics and reporting.
• Translate business problems into analysis requirements and drive decisions.

Skills

Data Analysis

Statistical Analysis

Data Visualization

SQL

Python

ETL

Data Modeling

Problem Solving

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

AWS EC2

AWS DynamoDB

AWS S3

Job description

Business Intelligence Engineer, Amazon Customer Service

Job ID: 2934902 | Amazon.com Services LLC

Amazon is seeking a candidate who is passionate about leveraging data to deliver actionable insights that will impact business decisions to improve customer experience within the Global Customer Service Concessions Team. The Global Concessions Team focuses on systematically identifying and eliminating defects leading to returns and egregious experiences for customers across different marketplaces. We do this through regional programs and working with resolver teams around the world.

In Concessions we embrace our differences and are committed to furthering our culture of inclusion. We do this by attracting, developing, and retaining amazing talent from diverse backgrounds.

We are looking for an individual who is curious, motivated, and able to work effectively with diverse peers; someone who will amplify the positive and inclusive team culture we’ve been building.

Key job responsibilities

As a Business Intelligence Engineer (BIE) on the Amazon Stores Customer Service (CS) Concessions Team you will be collaborating with a seasoned group of Data Engineers and other BIEs to build solutions that are accurate, reliable, and accessible.

Your responsibilities will include:

1. Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
2. Translate basic business problem statements into analysis requirements.
3. Use analytical and statistical rigor to answer business questions and drive business decisions.
4. Find and create ways to measure the customer experience to drive business outcomes.
5. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
6. Write queries and outputs efficiently, and have in-depth knowledge of the data available in your area of expertise.
7. Pull data needed with standard query syntax; periodically identify more advanced methods of query optimization.
8. Convert data to make it analysis-ready.
9. Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.
10. Troubleshoot operational data-quality issues.
11. Review and audit existing ETL jobs and queries.
12. Recommend improvements to back-end data sources for increased accuracy and simplicity.

A day in the life

A successful BIE will be highly collaborative and organized, capable of prioritizing multiple deliverables and effectively communicating any progress and/or blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one another.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

1. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
2. Experience with data visualization using Tableau, Quicksight, or similar tools
3. Experience with data modeling, warehousing and building ETL pipelines
4. Experience in Statistical Analysis packages such as R, SAS and Matlab
5. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

1. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
2. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
3. Experience in building ML based automated solutions

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.