Amazon
Sr. BIE: Multi Locations - US
Amazon, Seattle, Washington, us, 98127
Senior Business Intelligence EngineerCome build the future as a Senior 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 Senior 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 Senior 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:
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. 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
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.You will 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 to be presented to senior leadership.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 meaningfully support product and process innovation.BASIC QUALIFICATIONS
- 7+ years of professional experience- 5+ years of SQL experience- Proficient in theories, experimental design and statistical concepts for deriving insights from large-scale data analysis- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.PREFERRED QUALIFICATIONS
- Experience in working directly with business stakeholders to translate between data and business needs- 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 managing, analyzing and communicating results to senior leadership- Experience programming to extract, transform and clean large (multi-TB) data setsAmazon 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.
#J-18808-Ljbffr
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. 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
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.You will 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 to be presented to senior leadership.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 meaningfully support product and process innovation.BASIC QUALIFICATIONS
- 7+ years of professional experience- 5+ years of SQL experience- Proficient in theories, experimental design and statistical concepts for deriving insights from large-scale data analysis- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.PREFERRED QUALIFICATIONS
- Experience in working directly with business stakeholders to translate between data and business needs- 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 managing, analyzing and communicating results to senior leadership- Experience programming to extract, transform and clean large (multi-TB) data setsAmazon 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.
#J-18808-Ljbffr