Business Intelligence Engineer, AWS Support S&O ESSO Strategy, Planning & Inspection (SPI)
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Enterprise Support Strategy and Ops is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS Enterprise Support is hiring!
You recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area you understand data resources and know how when and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems you develop analyses (whether fully formed or exploratory) for the business sake not for analyses sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.
You will own the design development and maintenance of ongoing metrics reports analyses dashboards etc. within SQL Redshift Quicksights etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining data modeling and analytical skills to define and measure critical metrics.
Key job responsibilities
Build dashboards that enable business insights and support business review mechanisms including building and designing back end architecture data models ELT jobs etc as needed
Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks
Deliver dashboards analysis and develop predictive models in an Agile development environment
Collaborate with business analysts data engineering peers Business Operations finance and internal customers to deliver scalable consumption of analytics insights and statistics
Support the analytical needs of the team inclusive of routine reporting statistical inference predictive modeling simulation and visualization
Partner with engineering product business and finance teams to create key performance indicators and new methodologies for measurement
Retrieve and analyze data from database tables (ex. Redshift Oracle) and learn and understand a broad range of Amazons data resources and know how when and which to use and which not to use
Analyze volumes of data to find the root causes behind variances and drive insights
Build new analytical tools interfacing with business and technical stakeholders
Develop models and metrics providing insights on customer experience and business performance
About the team
Why AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its 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.
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 theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelors degree
- 1 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience building and maintaining basic data artifacts (e.g. ETL data models queries)
- Experience with scripting language (e.g. Python Java or R)
- Experience with data querying or modeling with SQL
- Bachelors degree or above in statistics business analytics data analytics data science computer science or related field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS Enterprise Support is hiring!
You recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area you understand data resources and know how when and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems you develop analyses (whether fully formed or exploratory) for the business sake not for analyses sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.
You will own the design development and maintenance of ongoing metrics reports analyses dashboards etc. within SQL Redshift Quicksights etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining data modeling and analytical skills to define and measure critical metrics.
Key job responsibilities
Build dashboards that enable business insights and support business review mechanisms including building and designing back end architecture data models ELT jobs etc as needed
Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks
Deliver dashboards analysis and develop predictive models in an Agile development environment
Collaborate with business analysts data engineering peers Business Operations finance and internal customers to deliver scalable consumption of analytics insights and statistics
Support the analytical needs of the team inclusive of routine reporting statistical inference predictive modeling simulation and visualization
Partner with engineering product business and finance teams to create key performance indicators and new methodologies for measurement
Retrieve and analyze data from database tables (ex. Redshift Oracle) and learn and understand a broad range of Amazons data resources and know how when and which to use and which not to use
Analyze volumes of data to find the root causes behind variances and drive insights
Build new analytical tools interfacing with business and technical stakeholders
Develop models and metrics providing insights on customer experience and business performance
About the team
Why AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its 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.
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 theres nothing we cant achieve in the cloud.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelors degree
- 1 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience building and maintaining basic data artifacts (e.g. ETL data models queries)
- Experience with scripting language (e.g. Python Java or R)
- Experience with data querying or modeling with SQL
- Bachelors degree or above in statistics business analytics data analytics data science computer science or related field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at TX Dallas - 82300.00 - 144000.00 USD annually
USA WA Seattle - 82300.00 - 144000.00 USD annually
Required Experience:
IC
Key Skills
About Company
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