Description

Amazon's Customer Service (CS) department is seeking an experienced Business Intelligence Engineer (BIE) to join the team. Customer service is the heart of Amazon, our vision is to be "Earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online."

The successful candidate will be a key member of the EU Data Insights and Design (DID) Data team. This team supports internal stakeholders (leadership team, project managers, program managers) with reactive analytics requests, and pro-actively builds tools to improve department productivity and ease of access to data and analytical resources.

A successful candidate will have a deep knowledge of business intelligence solutions and have the ability to work with AWS services, Python programming, project management, and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach in this space.

Tools used include:

1. SQL (Redshift)

2. AWS Services - S3, Lambda, Athena, Glue, Airflow, Kinesis

3. Python, Linux

4. ETL tools (internal)

5. Data visualization – QuickSight

Key job responsibilities

· Design, build, and maintain data pipelines, reporting, analytical & automation tools on AWS

· Work with a variety of data sources and large data sets, pull data using efficient query development and provide a holistic and consistent view of the data to facilitate analytical insights

· Debug report issues, unblock workflows and communicate with other teams and customers to provide status updates

· Automate existing processes where needed

· Work with our customers on incoming re-active requests to understand their needs and design reporting, analytics, and data pipeline solutions that will exceed expectations.

· Pro-actively develop flexible and scalable solutions using AWS services and Amazon internal tools

· Stay up-to-date on the latest AWS services and technologies

· Ratio of re-active, stakeholder initiated workload vs. proactive, project related workload: 50:50

We are open to hiring candidates to work out of one of the following locations:

London, GBR

Basic Qualifications

• Experience writing complex SQL queries

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience in the data/BI space

• Experience in Statistical Analysis packages such as R, SAS and Matlab

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

• Knowledge of SQL and data warehousing concepts

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).