Amazon
Business Intelligence Engineer, Deal Tooling and Insights, Strategic Customer En
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Deal Tooling and Insights, Strategic Customer Engagements
Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions?If so, we are looking for a Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives.Key job responsibilitiesIn this role, you will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable insights to senior leadership. You will own suite of metrics for Weekly/Monthly business reporting, establish automated processes for large scale data analyses and create net new metrics to measure the health of the business. You will drive the development of new self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.Successful candidates will be analytical with business acumen, and detail-oriented with excellent problem solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.About the teamHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.Minimum Qualifications:3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit
Amazon Disability Accommodation .Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
Amazon Employee Benefits .This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions?If so, we are looking for a Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives.Key job responsibilitiesIn this role, you will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable insights to senior leadership. You will own suite of metrics for Weekly/Monthly business reporting, establish automated processes for large scale data analyses and create net new metrics to measure the health of the business. You will drive the development of new self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.Successful candidates will be analytical with business acumen, and detail-oriented with excellent problem solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.About the teamHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.Minimum Qualifications:3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit
Amazon Disability Accommodation .Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
Amazon Employee Benefits .This position will remain posted until filled. Applicants should apply via our internal or external career site.
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