Amazon
Business Intelligence Engineer II, Rapid and Rural Logistics, R2L
Amazon, New York, New York, us, 10261
Business Intelligence Engineer II, Rapid and Rural Logistics, R2L
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Business Intelligence Engineer II, Rapid and Rural Logistics, R2L
role at
Amazon .
The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the organization. The R2L team, which covers high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD), Rural Super Rural + (RSR+), SSD Direct, exists solely to meet the goal of quick, accurate delivery and is constantly challenged and changed, adapting to our customer demands and improvements. As a BI Engineer, your focus will be on process automation, operational insight, and other analytical support to stakeholders. The team partners closely with delivery and operations teams.
Key Job Responsibilities The successful candidate is a seasoned data professional with a strong bias for action, proficiency with data visualization tools like QuickSight and Tableau, data modeling, ETL (Extract, Transform, Load), SQL, and scripting skills.
Own the design and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and cross‑functional data management teams to solve problems and implement new solutions.
A Day in the Life
Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points
Think creatively to identify opportunities to solve problems using technology‑driven solutions
Design and implement the optimal automation solutions to address stakeholder needs
Respond to ad‑hoc requests and provide support as needed
Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job ID: A3111672
#J-18808-Ljbffr
Business Intelligence Engineer II, Rapid and Rural Logistics, R2L
role at
Amazon .
The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the organization. The R2L team, which covers high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD), Rural Super Rural + (RSR+), SSD Direct, exists solely to meet the goal of quick, accurate delivery and is constantly challenged and changed, adapting to our customer demands and improvements. As a BI Engineer, your focus will be on process automation, operational insight, and other analytical support to stakeholders. The team partners closely with delivery and operations teams.
Key Job Responsibilities The successful candidate is a seasoned data professional with a strong bias for action, proficiency with data visualization tools like QuickSight and Tableau, data modeling, ETL (Extract, Transform, Load), SQL, and scripting skills.
Own the design and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and cross‑functional data management teams to solve problems and implement new solutions.
A Day in the Life
Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points
Think creatively to identify opportunities to solve problems using technology‑driven solutions
Design and implement the optimal automation solutions to address stakeholder needs
Respond to ad‑hoc requests and provide support as needed
Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job ID: A3111672
#J-18808-Ljbffr