Amazon
Business Intelligence Engineer II, Amazon Stores
Amazon, Seattle, Washington, us, 98127
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, impacting 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:
Consumer Technology:
Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe.Operations Technology:
Shape the future of transportation planning and execution on a global scale, impacting hundreds of fulfillment centers and millions of customers.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. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.Mentorship & Career Growth:
Our team is dedicated to supporting new members. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team Culture:
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion.Key job responsibilities
Utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights.Have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business.Conduct deep dive analyses of business problems and formulate conclusions and recommendations.Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders.Simplify and automate reporting, audits, and other data-driven activities.Partner with Engineering teams to enhance data infrastructure and data availability.Develop and drive best practices in reporting and analysis.Learn new technology and techniques to 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.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. in a business environment with large-scale, complex datasets.Experience with creating and building predictive/optimization tools.Experience articulating business questions and using quantitative techniques to drive insights.Experience dealing with technical and non-technical senior level managers.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.
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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, impacting 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:
Consumer Technology:
Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe.Operations Technology:
Shape the future of transportation planning and execution on a global scale, impacting hundreds of fulfillment centers and millions of customers.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. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.Mentorship & Career Growth:
Our team is dedicated to supporting new members. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team Culture:
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion.Key job responsibilities
Utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights.Have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business.Conduct deep dive analyses of business problems and formulate conclusions and recommendations.Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders.Simplify and automate reporting, audits, and other data-driven activities.Partner with Engineering teams to enhance data infrastructure and data availability.Develop and drive best practices in reporting and analysis.Learn new technology and techniques to 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.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. in a business environment with large-scale, complex datasets.Experience with creating and building predictive/optimization tools.Experience articulating business questions and using quantitative techniques to drive insights.Experience dealing with technical and non-technical senior level managers.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.
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