Business Intelligence Engineer DC Security Ops Excellence
Business Intelligence Engineer DC Security Ops Excellence
Posted on :
23-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
23-04-2025
Job Description
We are seeking a Business Intelligence Engineer for the AWS Data Center Security Operational Excellence team.
In this role you will be responsible for developing and implementing data analytics solutions to drive operational excellence in our security programs. Responsibilities include gathering data requirements from stakeholders designing and building automated reporting solutions creating data visualization tools and implementing metrics frameworks that measure program effectiveness. You will collaborate with internal teams to identify key performance indicators develop data models and create actionable insights that improve security operations.
The right candidate will possess strong technical skills in data analytics with experience in building BI solutions and metrics frameworks. You must have a proven track record of translating complex data into clear actionable insights. Success in this role requires thriving in an entrepreneurial environment and adapting to changing priorities. This means you can both develop highlevel analytics strategies and execute detailed technical work independently. You should be analytically minded innovative selfmotivated and an excellent team player. Candidates should demonstrate experience in continuous improvement through datadriven decision making and effectively collaborate with crossfunctional teams to implement solutions.
As a Business Intelligence Engineer you will identify data gaps improve reporting efficiency manage competing priorities and balance stakeholder needs with technical limitations. An ability to handle multiple complex data projects simultaneously develop robust analytical solutions and deliver meaningful insights in a timely manner is essential.
Key job responsibilities
Design and implement data analytics solutions and reporting frameworks
Own endtoend analytics development by creating detailed data requirements documentation building automated reporting solutions and managing dashboard implementations.
Meet with stakeholders to understand metrics requirements and reporting needs
Partner with operations teams to define key performance indicators develop visualization solutions and deliver actionable insights. Identify data gaps optimize reporting efficiency and prioritize competing analytics needs. Design and maintain automated data collection and reporting systems.
Drive datainformed decision making by developing metrics analyzing operational trends and creating clear visualizations that demonstrate program effectiveness and value. Build and maintain dashboards that provide realtime insights into security operations.
About the team
AWS Infrastructure Services (AIS) owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Diverse Experiences
AWS 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why 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 employeeled 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
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.
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.
In this role you will be responsible for developing and implementing data analytics solutions to drive operational excellence in our security programs. Responsibilities include gathering data requirements from stakeholders designing and building automated reporting solutions creating data visualization tools and implementing metrics frameworks that measure program effectiveness. You will collaborate with internal teams to identify key performance indicators develop data models and create actionable insights that improve security operations.
The right candidate will possess strong technical skills in data analytics with experience in building BI solutions and metrics frameworks. You must have a proven track record of translating complex data into clear actionable insights. Success in this role requires thriving in an entrepreneurial environment and adapting to changing priorities. This means you can both develop highlevel analytics strategies and execute detailed technical work independently. You should be analytically minded innovative selfmotivated and an excellent team player. Candidates should demonstrate experience in continuous improvement through datadriven decision making and effectively collaborate with crossfunctional teams to implement solutions.
As a Business Intelligence Engineer you will identify data gaps improve reporting efficiency manage competing priorities and balance stakeholder needs with technical limitations. An ability to handle multiple complex data projects simultaneously develop robust analytical solutions and deliver meaningful insights in a timely manner is essential.
Key job responsibilities
Design and implement data analytics solutions and reporting frameworks
Own endtoend analytics development by creating detailed data requirements documentation building automated reporting solutions and managing dashboard implementations.
Meet with stakeholders to understand metrics requirements and reporting needs
Partner with operations teams to define key performance indicators develop visualization solutions and deliver actionable insights. Identify data gaps optimize reporting efficiency and prioritize competing analytics needs. Design and maintain automated data collection and reporting systems.
Drive datainformed decision making by developing metrics analyzing operational trends and creating clear visualizations that demonstrate program effectiveness and value. Build and maintain dashboards that provide realtime insights into security operations.
About the team
AWS Infrastructure Services (AIS) owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Diverse Experiences
AWS 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why 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 employeeled 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
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.
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.
Employment Type
Full-Time
Key Skills
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