Business Intelligence Engineer, Amazon - Private Brands Analytics (PBA)

Business Intelligence Engineer, Amazon - Private Brands Analytics (PBA)

ID de vacante : 2779521 Beijing Century Joyo Information Technology Co., Ltd. Shenzhen Branch

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Become a Customer Obsessed Business Intelligence Engineer for Amazon Private Brands.

At Amazon, we're on a mission to be the most customer-centric company on Earth. To achieve this, we're seeking exceptional, talented, and driven builders to help us deliver remarkable customer experiences.

We're looking for a dynamic, customer-obsessed, and innovative Business Intelligence Engineer to join our Amazon Private Brands team.

Our Private Brands offer customers outstanding quality at great prices, and we need skilled software engineers to build new systems that will help customers discover these products.

In this role, you'll be a key connector between the various facets of Amazon Private Brand data, driving insights across areas like sustainability, compliance, sourcing, and more.

To succeed you'll need excellent SQL and Git skills as well as ETL optimization experience and visualization tool expertise.

Most importantly you need to be a strong communicator who is able to prioritize and make tradeoffs quickly.

If you're a customer obsessed, data-driven builder ready to make a real impact, we want to hear from you. Join us in creating the future of data within Amazon Private Brands.

Key job responsibilities

As a business intelligence (BI) engineer within Amazon Private Brands, you will be a crucial member of our data analytics team, responsible for designing, implementing, and maintaining robust BI solutions that empower our business stakeholders to make data-driven decisions.

Your key responsibilities will include collaborating closely with the business and subject matter experts to deeply understand their reporting and analytics requirements.

Leveraging your expertise, you will design and develop complex data models, ETL (extract, transform, load) processes, and interactive dashboards / visualizations using AWS services like Redshift, Glue, Amazon Quicksight, and LLMs like Amazon Q.

Automating data integration and transformation workflows will be a core part of your role, ensuring timely, accurate, and scalable reporting capabilities.

Additionally, you will be responsible for optimizing query performance to support increasing data volumes and user demands, guaranteeing our BI infrastructure remains efficient and reliable.

Providing data support and hands-on training to end-users will also be a key focus, as will continuously staying on top of the latest BI trends and technologies to recommend strategic improvements.

If you are a data-driven problem-solver with a passion for turning raw data into actionable intelligence, we encourage you to join our team!

A day in the life

As a BI engineer at Amazon Private Brands, your days will be dynamic and diverse. One moment you could be crafting complex data visualizations to empower senior leadership with actionable insights, and the next you might be writing SQL to smoothly collate billions of records.

You'll also collaborate with senior data engineers to solve intricate ETL pipeline discrepancies. Change is the only constant at Amazon, ensuring you're constantly exploring new avenues and optimizing datasets to drive business impact.

About the team

Private Brand Analytics provides essential data support for various Amazon Private Brands divisions. Team events and making the most of our office time foster a cohesive and supportive environment, ensuring we all work towards a common goal.

Our enthusiastic Seattle-based team eagerly awaits your arrival as we continue our shared journey of learning and development.

Minimum 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 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

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