Business Intelligence Engineer II, Amazon Stores

Business Intelligence Engineer II, Amazon Stores

Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.

As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.

Apply now and you will be eligible for Amazon Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada.

Teams with available positions include, but are not limited to:

1. Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe.
2. Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world.
3. Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates.

About Us:

Work/Life Balance: Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.

Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

Inclusive Team Culture: Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion.

Key job responsibilities

1. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts.
2. You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.
3. Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
4. Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders.
5. Simplify and automate reporting, audits and other data-driven activities.
6. Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights.
7. To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
8. Learn new technology and techniques to meaningfully support product and process innovation.

BASIC QUALIFICATIONS

- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).

- Experience with data visualization using Tableau, Quicksight, or similar tools.

- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.

- Ability to operate successfully and independently in a fast-paced environment.

- Comfort with ambiguity and eagerness to learn new skills.

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.

- Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience.

- Experience articulating business questions and using quantitative techniques to drive insights for business.

- Experience in dealing with technical and non-technical senior level managers.