Job Description
Are you passionate about leveraging data to deliver actionable insight that impacts daily business decisions for Amazon? Does the prospect of dealing with massive volume of data excite you?
Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon Retail. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many millions of units of inventory, employ hundreds of thousands of employees, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well.
Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all else, is a passionate about data and analytics.
As a Business Intelligence Engineer you will be conducting large scale data analysis and providing business insights based upon data to further improve our operations and processes. Identifying non-existent data fields to improve existing KPIs would be a key responsibility for this role. Understandings around internal fulfillment center operations will be a plus.
A successful candidate knows and loves working with business intelligence tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results. You should have an internal drive to answer ?why questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills. S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.
Key job responsibilities
You will also have the opportunity to display your skills in the following areas:
Analyze and solve problems at their root, stepping back to understand the broader context.
Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
Respond to high priority requests from senior business leaders.
Learn and understand a broad range of Amazon?s data resources and know when, how, and which to use and which not to use.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Redshift.
Interface with business customers to gather requirements.
Model data and metadata to support ad-hoc and pre-built reporting.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Tune application and query performance using Unix profiling tools and SQL.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
Help answer challenging business questions for implementation through technology ultimately delivered to business and operations partners.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon?s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
Workforce Optimization
AFT?s Workforce Optimization team delivers innovative platforms and products to automate labor management and staffing decisions across processes and functions at Amazon?s global fulfillment network locations.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience writing complex SQL queries
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 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.
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. 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.
Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon Retail. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many millions of units of inventory, employ hundreds of thousands of employees, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well.
Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all else, is a passionate about data and analytics.
As a Business Intelligence Engineer you will be conducting large scale data analysis and providing business insights based upon data to further improve our operations and processes. Identifying non-existent data fields to improve existing KPIs would be a key responsibility for this role. Understandings around internal fulfillment center operations will be a plus.
A successful candidate knows and loves working with business intelligence tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results. You should have an internal drive to answer ?why questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills. S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.
Key job responsibilities
You will also have the opportunity to display your skills in the following areas:
Analyze and solve problems at their root, stepping back to understand the broader context.
Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
Respond to high priority requests from senior business leaders.
Learn and understand a broad range of Amazon?s data resources and know when, how, and which to use and which not to use.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Redshift.
Interface with business customers to gather requirements.
Model data and metadata to support ad-hoc and pre-built reporting.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Tune application and query performance using Unix profiling tools and SQL.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
Help answer challenging business questions for implementation through technology ultimately delivered to business and operations partners.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon?s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
Workforce Optimization
AFT?s Workforce Optimization team delivers innovative platforms and products to automate labor management and staffing decisions across processes and functions at Amazon?s global fulfillment network locations.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience writing complex SQL queries
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 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.
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. 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.
Key skill Required
- Oracle
- SQL
- Python
- AWS
- Analytical Techniques
- Business Intelligence
- Data Analysis
- Actionable Insight
- Ambiguity
- Analysis
- Analytics
- Attention to Detail
- Automated Solutions
- Big Data
- Business Insights
- Communication
- Customer Segmentation
- Data Integrity
- Data Mining
- Data Modeling
- Data Science
- Data Visualization
- Data Warehouse
- Database
- Design
- Development
- Documentation
- Dynamic Environment
- DynamoDB
- Implementation
- Inclusive
- Insight
- Intelligence
- Labor Management
- Maintenance
- Management
- MATLAB
- Metadata
- Mining
- NoSQL
- Onboarding
- Optimization
- Orientation
- Passionate
- Profiling
- Reporting
- Retail
- Science
- Service Support
- Statistical Analysis
- Test Design
- Validation
- Verbal Communication
- Visualization
- Workforce Optimization
- Writing
- Written and Verbal Communication