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Business Intelligence Engineer, Business Insights and Operations, AWS Industries Business Operations, BDSI Insights
Amazon.comUnited Statesfull_timeVerifiedPosted 13 Jul 2023
💰 $241,300/yr($124,100/yr – $241,300/yr)
About the role
At Amazon, we're working to be Earth's most Customer-centric Company and Earth's Best Employer. To get there, we need exceptionally talented, bright, and driven people. Within AWS, the Business Insights and Operations team serves as a central business operations and analytics function that supports the AWS Industries org with actionable insights, data, and dashboards to gauge performance and refine our strategy. We also work closely with business operations and engineering teams in planning, designing, executing, and implementing reporting solutions, automating mechanisms, and driving business cadences.
We are seeking an experienced Business Intelligence Engineer to help with delivering accurate data, insightful analyses, and compelling visualizations to ensure the AWS Industries leadership team can grow sustainable and scalable businesses. The ideal candidate has broad technical skills, strong data management skills, and a deep analytical background to understand the complexities in data and deliver actionable insights. 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.
This role can be located in Seattle, WA or New York, NY.
Key job responsibilities
- 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.
- Provide recommendations to improve the architecture of our reporting solution.
- Drive best practices in operational excellence, data modelling, and analysis.
- 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.
- Partner with engineering, product, business and finance teams to create and iterate on key performance indicators and new methodologies for measurement.
About the team
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.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve 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.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Seattle, WA, USA
- Bachelor's degree in Business, Economics, Finance, Engineering, Statistics, Computer Science, Mathematics or related field, or equivalent experience
- 7+ years of professional experience in business intelligence, business analytics, or BI engineering function
- 5+ years of experience writing complex, highly-optimized SQL queries across large, multi-dimensional datasets
- 5+ years of experience with BI tools such as QuickSight, Tableau, or PowerBI
- Experience dealing with large data-sets, data preparation, automation, and performance tuning
- Ability to draw insights from dashboards and suggest recommended actions
- Have an understanding of data pipelines and data warehouse/data lake architecture
- Experience with one or more scripting languages (e.g. Python, R, Shell)
- Poise and experience presenting to senior leadership
- Superb verbal and written communications skills and the ability to articulate complex
We are seeking an experienced Business Intelligence Engineer to help with delivering accurate data, insightful analyses, and compelling visualizations to ensure the AWS Industries leadership team can grow sustainable and scalable businesses. The ideal candidate has broad technical skills, strong data management skills, and a deep analytical background to understand the complexities in data and deliver actionable insights. 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.
This role can be located in Seattle, WA or New York, NY.
Key job responsibilities
- 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.
- Provide recommendations to improve the architecture of our reporting solution.
- Drive best practices in operational excellence, data modelling, and analysis.
- 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.
- Partner with engineering, product, business and finance teams to create and iterate on key performance indicators and new methodologies for measurement.
About the team
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.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve 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.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Seattle, WA, USA
Basic Qualifications
- Bachelor's degree in Business, Economics, Finance, Engineering, Statistics, Computer Science, Mathematics or related field, or equivalent experience
- 7+ years of professional experience in business intelligence, business analytics, or BI engineering function
- 5+ years of experience writing complex, highly-optimized SQL queries across large, multi-dimensional datasets
- 5+ years of experience with BI tools such as QuickSight, Tableau, or PowerBI
- Experience dealing with large data-sets, data preparation, automation, and performance tuning
- Ability to draw insights from dashboards and suggest recommended actions
- Have an understanding of data pipelines and data warehouse/data lake architecture
- Experience with one or more scripting languages (e.g. Python, R, Shell)
Preferred Qualifications
- Ability to influence and manage a diverse group of stakeholders- Poise and experience presenting to senior leadership
- Superb verbal and written communications skills and the ability to articulate complex
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