Business Intelligence Engineer, Delivery Choices
Amazon
Full-time
On-site
Bellevue, Washington, United States
$89,600 - $185,000 USD yearly
Amazon is seeking a self-started candidate who is passionate about leveraging data to deliver actionable insight that impacts business decisions to improve the customer delivery experience WW.
DEX Delivery Choices offers customers alternatives to Core and faster-than-Core delivery options, addressing needs for control, choice, sustainability, and the convenience of receiving items together. Our programs also drive network consolidation, flexibility, cost savings, and carbon reduction for Amazon.
A successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience. This role offers the opportunity to influence and drive a growing business area. This role includes analyzing large data sets, integrating metrics into product launches, validating hypotheses, automating existing solutions, and developing self-service dashboards and reports. This role actively contributes to driving innovation through data and collaborates with a wide array of stakeholders, including Product Managers, Data Scientists, Economists, SDEs, Data Engineers, and other partner teams.
Key job responsibilities
ā¢ Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
ā¢ Translate basic business problem statements into analysis requirements.
ā¢ Use analytical and statistical rigor to answer business questions and drive business decisions.
ā¢ Find and create ways to measure the customer experience to drive business outcomes.
ā¢ Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
ā¢ Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
ā¢ Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
ā¢ Troubleshoot operational -quality issues.
ā¢ Review and audit existing jobs and queries.
ā¢ Recommending improvements to back-end sources for increased accuracy and simplicity.
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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. 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.
DEX Delivery Choices offers customers alternatives to Core and faster-than-Core delivery options, addressing needs for control, choice, sustainability, and the convenience of receiving items together. Our programs also drive network consolidation, flexibility, cost savings, and carbon reduction for Amazon.
A successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience. This role offers the opportunity to influence and drive a growing business area. This role includes analyzing large data sets, integrating metrics into product launches, validating hypotheses, automating existing solutions, and developing self-service dashboards and reports. This role actively contributes to driving innovation through data and collaborates with a wide array of stakeholders, including Product Managers, Data Scientists, Economists, SDEs, Data Engineers, and other partner teams.
Key job responsibilities
ā¢ Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
ā¢ Translate basic business problem statements into analysis requirements.
ā¢ Use analytical and statistical rigor to answer business questions and drive business decisions.
ā¢ Find and create ways to measure the customer experience to drive business outcomes.
ā¢ Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
ā¢ Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
ā¢ Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
ā¢ Troubleshoot operational -quality issues.
ā¢ Review and audit existing jobs and queries.
ā¢ Recommending improvements to back-end sources for increased accuracy and simplicity.
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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. 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.