Ring Service Inc
Business Intelligence Engineer II, Amazon Key
Join the Amazon Key team to help transform the customer delivery experience at scale. Key for Business, our patented building access technology, supports Amazon Last Mile in the US. We are actively looking for a passionate Business Intelligence Engineer to join our start up team to inform the direction of Key for Business through data at scale. The successful candidate will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs consumed across the Key for Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less technical audiences. Strong SQL in any implementation is a must. Scripting skills and a background in operations are extremely valuable. This is a highly visible role that partners with business, product management, operations and the technical team. We are open in Austin, TX and Seattle, WA and candidates must be based in or willing to relocate to one of these locations. Responsibilities Design, implement, and support a platform providing ad hoc access to large datasets. Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL. Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards. Perform deep-dives and root cause analysis to answer business questions. Work with cross functional stakeholders in defining the source of truth and ensuring high data fidelity. Effectively communicate (written and verbal) solutions and methodologies to senior leadership. Work with engineering teams to enable the appropriate capture and storage of data. Complete ad hoc data retrieval and analysis. Monitor existing metrics, develop and propose new metrics, and identify new actionable risk signals.
About The Team
Our team is actively seeking motivated and multi-talented individuals who are passionate about transforming logistics and package delivery operations. We are inventing the next generation smart delivery operation with technologies in IoT. We develop technology based solutions matching customer needs and delivery capacity with precision and efficiency, and expanding and transforming delivery experience with unprecedented quality, productivity and scale. Basic Qualifications
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
Preferred Qualifications
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 the Amazon accommodations page for more information. If the country or region you are applying in isnt listed, please contact your Recruiting Partner. This position will remain posted until filled. #J-18808-Ljbffr
Join the Amazon Key team to help transform the customer delivery experience at scale. Key for Business, our patented building access technology, supports Amazon Last Mile in the US. We are actively looking for a passionate Business Intelligence Engineer to join our start up team to inform the direction of Key for Business through data at scale. The successful candidate will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs consumed across the Key for Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less technical audiences. Strong SQL in any implementation is a must. Scripting skills and a background in operations are extremely valuable. This is a highly visible role that partners with business, product management, operations and the technical team. We are open in Austin, TX and Seattle, WA and candidates must be based in or willing to relocate to one of these locations. Responsibilities Design, implement, and support a platform providing ad hoc access to large datasets. Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and ETL. Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards. Perform deep-dives and root cause analysis to answer business questions. Work with cross functional stakeholders in defining the source of truth and ensuring high data fidelity. Effectively communicate (written and verbal) solutions and methodologies to senior leadership. Work with engineering teams to enable the appropriate capture and storage of data. Complete ad hoc data retrieval and analysis. Monitor existing metrics, develop and propose new metrics, and identify new actionable risk signals.
About The Team
Our team is actively seeking motivated and multi-talented individuals who are passionate about transforming logistics and package delivery operations. We are inventing the next generation smart delivery operation with technologies in IoT. We develop technology based solutions matching customer needs and delivery capacity with precision and efficiency, and expanding and transforming delivery experience with unprecedented quality, productivity and scale. Basic Qualifications
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
Preferred Qualifications
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 the Amazon accommodations page for more information. If the country or region you are applying in isnt listed, please contact your Recruiting Partner. This position will remain posted until filled. #J-18808-Ljbffr