Business Intelligence Engineer, Ring Decision Sciences
Business Intelligence Engineer, Ring Decision Sciences
Posted on :
23-07-2025
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
Ring is looking for an insightful and analytical Business Intelligence Engineer with strong business and technical skills to join our Business Intelligence team. In this role you will partner with product management engineering quality assurance and other BI teams that power Ring. Your work will be instrumental to achieving its mission be highly visible to Ring / Amazon leadership and will drive key strategic company goals.
You will develop models and tools conduct statistical analyses evaluate large data sets and create tailored models and dashboards. Additionally you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines resulting in actionable recommendations ranging from strategic planning product strategy/launches and engineering improvements to marketing campaign optimization customer servicing trending and competitive research.
Key job responsibilities
- Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
- Work with the ios and Android development and product teams to identify gaps and trends.
- Analyze large data sets using a variety of database query and visualization tools
- Provide technical expertise in extracting integrating and analyzing critical data
- Anticipate identify structure and solve critical problems
- Design and develop key performance metrics and indicators using standardized and custom reports
- Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases.
- Clearly communicate any potential data discrepancies and/or reporting downtime including specific root cause steps to resolution and resolution date to a large end-user base
- Partner with subject matter experts to document and translate business requirements into technical requirements
- Manage multiple projects and proactively communicates issues priorities and objectives
- Clearly communicate any potential data discrepancies and/or reporting downtime including specific root cause steps to resolution and resolution date to a large end-user base
- Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.
About the team
The Ring Decision Sciences Org is responsible for the data strategy architecture governance science and software services Ring teams use to inform business strategy or power experiences with data. The central Data Science and Analytics team (within Decision Sciences) is responsible for core business metrics shared data models AI/ML models business intelligence dashboards and business analysis/science support.
- 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 large-scale complex datasets
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.
You will develop models and tools conduct statistical analyses evaluate large data sets and create tailored models and dashboards. Additionally you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines resulting in actionable recommendations ranging from strategic planning product strategy/launches and engineering improvements to marketing campaign optimization customer servicing trending and competitive research.
Key job responsibilities
- Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
- Work with the ios and Android development and product teams to identify gaps and trends.
- Analyze large data sets using a variety of database query and visualization tools
- Provide technical expertise in extracting integrating and analyzing critical data
- Anticipate identify structure and solve critical problems
- Design and develop key performance metrics and indicators using standardized and custom reports
- Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases.
- Clearly communicate any potential data discrepancies and/or reporting downtime including specific root cause steps to resolution and resolution date to a large end-user base
- Partner with subject matter experts to document and translate business requirements into technical requirements
- Manage multiple projects and proactively communicates issues priorities and objectives
- Clearly communicate any potential data discrepancies and/or reporting downtime including specific root cause steps to resolution and resolution date to a large end-user base
- Partner with BI architects to provide valuable inputs to remodel the existing data warehouse.
About the team
The Ring Decision Sciences Org is responsible for the data strategy architecture governance science and software services Ring teams use to inform business strategy or power experiences with data. The central Data Science and Analytics team (within Decision Sciences) is responsible for core business metrics shared data models AI/ML models business intelligence dashboards and business analysis/science support.
- 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 large-scale complex datasets
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
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.
