Sr. Business Intelligence Engineer, AWSI Business Insights & Operations
Amazon
Full-time
On-site
Seattle, Washington, United States
$117,300 - $202,800 USD yearly
Here 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.
We are seeking an experienced Business Intelligence Engineer to help with delivering accurate data, insightful analyses, and compelling visualizations to ensure the AWS Strategic Accounts leadership team can grow sustainable and scalable businesses. The ideal candidate earns trust through outstanding performance, has strong strategic planning and financial acumen, and has creative ideas for data visualizations for complex metrics. The ideal candidate has broad technical skills, strong data management skills, and a deep analytics background to develop and assist the AWS Strategic Accounts organization in deriving analytical insights from data and building scalable mechanisms to support those insights.
The role is critical and highly visible across the organization and plays a key role in developing analytic insights that are foundational for our strategy. This position is responsible for identifying technical requirements for business metrics and dashboards, partnering with data engineers to execute on those requirements, translating them into compelling visualizations, and providing useful and meaningful analysis for leadership.
Ideal candidates are passionate about data governance and hygiene, and are never satisfied until data standards are established and consistently in place. You want data to tell a clear story, highlight insights we hadn't previously seen, and do it all faster than we've been able to previously. With an understanding of the core business needs in hand, you’ll use your programming, SQL, and data visualization skills to develop solutions that will help move the business forward and enable better decisions to be made in less time.
Key job responsibilities
Responsibilities include but not limited to:
Build data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business.
Design and implement technical solutions with an appropriate analytics strategy and data set design. Understand system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions.
Drive best practices in operational excellence, data modelling, and analysis. Assure BI solutions are correctly and efficiently supporting the business.
Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
Own key executive reports and metrics that are consumed by our executive leadership team and the field organization.
Partnering with engineering, product, business, and finance teams to create and iterate on key performance indicators and new methodologies for measurement.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
We are seeking an experienced Business Intelligence Engineer to help with delivering accurate data, insightful analyses, and compelling visualizations to ensure the AWS Strategic Accounts leadership team can grow sustainable and scalable businesses. The ideal candidate earns trust through outstanding performance, has strong strategic planning and financial acumen, and has creative ideas for data visualizations for complex metrics. The ideal candidate has broad technical skills, strong data management skills, and a deep analytics background to develop and assist the AWS Strategic Accounts organization in deriving analytical insights from data and building scalable mechanisms to support those insights.
The role is critical and highly visible across the organization and plays a key role in developing analytic insights that are foundational for our strategy. This position is responsible for identifying technical requirements for business metrics and dashboards, partnering with data engineers to execute on those requirements, translating them into compelling visualizations, and providing useful and meaningful analysis for leadership.
Ideal candidates are passionate about data governance and hygiene, and are never satisfied until data standards are established and consistently in place. You want data to tell a clear story, highlight insights we hadn't previously seen, and do it all faster than we've been able to previously. With an understanding of the core business needs in hand, you’ll use your programming, SQL, and data visualization skills to develop solutions that will help move the business forward and enable better decisions to be made in less time.
Key job responsibilities
Responsibilities include but not limited to:
Build data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business.
Design and implement technical solutions with an appropriate analytics strategy and data set design. Understand system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions.
Drive best practices in operational excellence, data modelling, and analysis. Assure BI solutions are correctly and efficiently supporting the business.
Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
Own key executive reports and metrics that are consumed by our executive leadership team and the field organization.
Partnering with engineering, product, business, and finance teams to create and iterate on key performance indicators and new methodologies for measurement.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.