Amazon
Business Intelligence Engineer, R2L Analytics
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Business Intelligence Engineer, R2L Analytics
role at
Amazon
The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high‑growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub‑Same Day (SSD) Delivery business. The Delivery BI team partners closely with Delivery and operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long‑term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning.
Key Responsibilities
Identify complex business problems, recognize opportunities, and implement solutions to improve operations and finance‑facing systems, processes, and tools.
Extract, integrate, and analyze critical data, clearly communicate any potential discrepancies and/or reporting downtime, including specific root causes and steps to resolution.
Design and develop key performance metrics and indicators.
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.
Automate processes by developing deep‑dive tools, metrics, and dashboards to communicate insights in real‑time to business teams.
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 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.
About The Team The Rapid and Rural Logistics team covers a portfolio of high‑growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD). Our team needs to move fast and scale quickly with the growing businesses we support. We expect you to be able to identify one‑vs two‑way doors and make decisions on your own, requesting help when necessary. Strong bias for action is important. Technical skills must be balanced against people skills and business acumen so you can work with stakeholders to understand their needs and deliver the optimal BI solution.
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, 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. If the country/region you’re applying in isn’t 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 $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.
Job ID: A3122420
#J-18808-Ljbffr
Business Intelligence Engineer, R2L Analytics
role at
Amazon
The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high‑growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub‑Same Day (SSD) Delivery business. The Delivery BI team partners closely with Delivery and operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long‑term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning.
Key Responsibilities
Identify complex business problems, recognize opportunities, and implement solutions to improve operations and finance‑facing systems, processes, and tools.
Extract, integrate, and analyze critical data, clearly communicate any potential discrepancies and/or reporting downtime, including specific root causes and steps to resolution.
Design and develop key performance metrics and indicators.
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.
Automate processes by developing deep‑dive tools, metrics, and dashboards to communicate insights in real‑time to business teams.
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 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.
About The Team The Rapid and Rural Logistics team covers a portfolio of high‑growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD). Our team needs to move fast and scale quickly with the growing businesses we support. We expect you to be able to identify one‑vs two‑way doors and make decisions on your own, requesting help when necessary. Strong bias for action is important. Technical skills must be balanced against people skills and business acumen so you can work with stakeholders to understand their needs and deliver the optimal BI solution.
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, 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. If the country/region you’re applying in isn’t 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 $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.
Job ID: A3122420
#J-18808-Ljbffr