Data Analytics Manager, AWS Monetization

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

Do you get excited working on new challenges every day? Do you like to problem solve, drive solutions and influence what features should be launched for customers? AWS Business Operations team is looking for a talented business intelligence engineer who can support driving deep insights, create forecasts, develop business metrics, ETL jobs and continuous improvement using the analysis. You will work with cross-functional teams across the company such as Accounts Receivable, Accounting, Operations, Customer Service, Development teams on a daily basis.

Key job responsibilities

• Manage a team of Business Intelligence Engineers with a focus on developing the team and delivering results.
• Develop a deep understanding of AWS’s vast data sources and know exactly how, when, and which data to use to solve particular business problems.
• Implement best practices around data management, reporting, dashboards, and analytics.
• Present to business leaders in both ad-hoc forums and routine monthly and weekly business reviews to supply the data necessary to make decisions.
• Proactively identify projects and analyses that help grow AWS Billing, including defining metrics and goals.
• Deliver timely, accurate and professional technical assistance to internal colleagues. Have the ability to dive deep in their understanding of AWS Billing and how their needs can be met with existing (and new) metrics and insights.
• Develop a BI roadmap and manage priorities with the strategic goal of the team spending 20% or less of their time on ad-hoc requests.

A day in the life
BIEs on this team are collaborators. They work directly with stakeholders to understand business, program, and feature needs. This could be anything from building a dashboard, analyzing ROI, developing automation, and everything in between. They partner with the Data Engineers, Data Scientists, and other BIEs in org to build the infrastructure, tools, and automation needed to help the business exceed its goals. The team values professional development opportunities and makes time to participate in mentorships, classes, and stretch assignments. Managers shift between tactical and strategic lenses, developing roadmaps that ensure the BI team proactively builds the data, reporting, and analyses that underpin a growing business.

About the team
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.

We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.

BASIC QUALIFICATIONS

AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

Do you get excited working on new challenges every day? Do you like to problem solve, drive solutions and influence what features should be launched for customers? AWS Business Operations team is looking for a talented business intelligence engineer who can support driving deep insights, create forecasts, develop business metrics, ETL jobs and continuous improvement using the analysis. You will work with cross-functional teams across the company such as Accounts Receivable, Accounting, Operations, Customer Service, Development teams on a daily basis.

Key job responsibilities

• Manage a team of Business Intelligence Engineers with a focus on developing the team and delivering results.
• Develop a deep understanding of AWS’s vast data sources and know exactly how, when, and which data to use to solve particular business problems.
• Implement best practices around data management, reporting, dashboards, and analytics.
• Present to business leaders in both ad-hoc forums and routine monthly and weekly business reviews to supply the data necessary to make decisions.
• Proactively identify projects and analyses that help grow AWS Billing, including defining metrics and goals.
• Deliver timely, accurate and professional technical assistance to internal colleagues. Have the ability to dive deep in their understanding of AWS Billing and how their needs can be met with existing (and new) metrics and insights.
• Develop a BI roadmap and manage priorities with the strategic goal of the team spending 20% or less of their time on ad-hoc requests.

A day in the life
BIEs on this team are collaborators. They work directly with stakeholders to understand business, program, and feature needs. This could be anything from building a dashboard, analyzing ROI, developing automation, and everything in between. They partner with the Data Engineers, Data Scientists, and other BIEs in org to build the infrastructure, tools, and automation needed to help the business exceed its goals. The team values professional development opportunities and makes time to participate in mentorships, classes, and stretch assignments. Managers shift between tactical and strategic lenses, developing roadmaps that ensure the BI team proactively builds the data, reporting, and analyses that underpin a growing business.

About the team
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.

We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.

BASIC QUALIFICATIONS

• Bachelor’s degree in Business Analytics, Statistics, Economics, CS, or related quantitative field
• 3+ years of BI management experience
• 5+ years of hands-on BIE/BA/DE experience

PREFERRED QUALIFICATIONS

• Master’s degree in Business Analytics, Statistics, Economics, CS, or related quantitative field
• 5+ years of BI management experience
• 3+ years of hands-on experience using advanced Data Warehousing concepts and a track record of applying these concepts on the job
• 3+ years of hands-on experience using a scripting language, preferable Python
  
  

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

of hands-on BIE/BA/DE experience

PREFERRED QUALIFICATIONS

• Master’s degree in Business Analytics, Statistics, Economics, CS, or related quantitative field
• 5+ years of BI management experience
• 3+ years of hands-on experience using advanced Data Warehousing concepts and a track record of applying these concepts on the job
• 3+ years of hands-on experience using a scripting language, preferable Python
  
  

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. For individuals with disabilities who would like to request an accommodation,