Business Intelligence Engineer 2
Amazon
Business Intelligence Engineer 2
Amazon
Sells products online and rents cloud computing
At Amazon, our goal is to be earth’s most customer-centric company and to create a safe environment for both our customers and our associates. To achieve that, we need exceptionally talented, bright, dynamic, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. We are looking for a talented business analyst to join the Regulatory Intelligence, Safety & Compliance [RISC] Global Data & Analytics [GDA] team.
This role will be a key member of the Analytics team, responsible for driving analysis and insights to help make meaningful business decisions. As a BIE, you will focus on improving the success within business functions by analyzing data, discovering and solving real world problems, building metrics and business cases to improve customer experience, and providing timely data support for escalations to mitigate risk. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by developing the right metrics, analyzing data, and partnering with internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.
Key job responsibilities
- Creating automated reports and dashboards with a combination of BI tools such as Tableau, Quicksight etc.
- Partnering with Program team, Legal, and Tech stakeholders to understand challenges and provide /analysis to help drive program success
- Providing data support for business and cross-functional partners to address escalations and answer questions using PostgreSQL and AWS solutions
- Uncovering trends and correlations through mining and analysis to develop insights that can help stakeholders to make effective decisions
- Designing and executing analytical projects using statistical analysis
- Build self-service solutions that empower stakeholders to access and analyze data independently.
About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling
- Experience using coding agents like Claude Code, Codex, Kiro etc
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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