Business Intelligence Engineer, AWS People Analytics
Business Intelligence Engineer, AWS People Analytics
Posted on :
01-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you someone who likes to work at the intersection of business and tech Are you the type to roll up your sleeves and dive headfirst into data Do you like challenging the status quo and breaking convention If so come join the team as the Business Intel Engineer for AWS People Analytics.
Key job responsibilities
Define develop and build business critical metrics and reports across all business levers and key performance indicators
Own and develop key reports and metrics that are consumed by our executive leadership team and partner organization.
Provide thought leadership in deep dives across a variety of key performance indicators.
Translate data into actionable insights for stakeholders both in and out of the team
Automate reporting for regular metrics identify areas of opportunity to automate scale ad-hoc analyses build and inform BI tool improvements.
Partner with engineering product and business to create key performance indicators and new methodologies for measurement.
A day in the life
The Business Intelligence Engineer role is responsible for reshaping how the business thinks about its people metrics globally. You will come in and establish relationships across the business and PXT to pinpoint specific metrics and insights that are actionable and provide business impact build self-service dashboards and tools to put the right data and insights into the hands of PXT and business leaders at the right time.
About the team
The AWS People Analytics organization is a critical piece of the AWS PXT flywheel. We are the curators of people data for the industry leaders in cloud computing and are responsible for providing the right metrics and insights to help the business develop its employees and scale its workforce. The work we do enables leaders to make industry-shaking decisions based upon insights we must generate. We also have a great responsibility to treat this data as sacred and be best in class with our data security principles.
- 5 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 large-scale complex datasets
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Define develop and build business critical metrics and reports across all business levers and key performance indicators
Own and develop key reports and metrics that are consumed by our executive leadership team and partner organization.
Provide thought leadership in deep dives across a variety of key performance indicators.
Translate data into actionable insights for stakeholders both in and out of the team
Automate reporting for regular metrics identify areas of opportunity to automate scale ad-hoc analyses build and inform BI tool improvements.
Partner with engineering product and business to create key performance indicators and new methodologies for measurement.
A day in the life
The Business Intelligence Engineer role is responsible for reshaping how the business thinks about its people metrics globally. You will come in and establish relationships across the business and PXT to pinpoint specific metrics and insights that are actionable and provide business impact build self-service dashboards and tools to put the right data and insights into the hands of PXT and business leaders at the right time.
About the team
The AWS People Analytics organization is a critical piece of the AWS PXT flywheel. We are the curators of people data for the industry leaders in cloud computing and are responsible for providing the right metrics and insights to help the business develop its employees and scale its workforce. The work we do enables leaders to make industry-shaking decisions based upon insights we must generate. We also have a great responsibility to treat this data as sacred and be best in class with our data security principles.
- 5 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 large-scale complex datasets
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
