Job Description
Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.
Our mission is to build the most technically robust and strategically impactful ecosystem for business buying. Every day, we innovate, engineer, and solve complex problems, ensuring that Amazon Business continues to lead in procurement technology. If you are passionate about shaping technical strategy, building solutions, and tackling complex integration challenges, join us in shaping the future of business procurement.
As a Sr Business Intelligence Engineer on the Global Integrations team, you will be responsible for harnessing the full potential of data-driven insights to guide strategic decisions and drive business growth globally. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to partner with GTM, product and technical teams across Amazon Business.
You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities globally. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job responsibilities
Bachelor's degree in Computer Science, Mathematics, Statistics, Operations Research.
5+ years of SQL experience, analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
7+ years of professional experience
Proficiency in SQL and in one or more programming language ? Python, Scala, Ruby and Java.
Experience in Statistical Analysis packages such as R, SAS and Matlab
Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture.
Knowledge on using business intelligence reporting tools ? Tableau/QuickSight/Looker.
Excellent problem solving skills, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form.
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
About the team
Our mission is to build the most technically robust and strategically impactful ecosystem for business buying. Every day, we innovate, engineer, and solve complex problems, ensuring that Amazon Business continues to lead in procurement technology. If you are passionate about shaping technical strategy, building solutions, and tackling complex integration challenges, join us in shaping the future of business procurement.
Basic Qualifications
10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience in Statistical Analysis packages such as R, SAS and Matlab
Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture.
Knowledge on using business intelligence reporting tools ? Tableau/QuickSight/Looker.
Excellent problem solving skills, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form.
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
5+ years of experience as a Business/Financial Analyst, BI Engineer or Systems Analyst preferably in an internet-based company with large, complex data sources.
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience conducting large scale data analysis to support business decision making.
Ability to deal with ambiguity and competing objectives in a fast paced environment.
Proven problem solving skills, attention to detail, and exceptional organizational skills
Track record of strong interpersonal and communication (verbal and written) skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses and contribute to documents.
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 $117,300/year in our lowest geographic market up to $202,800/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.
Our mission is to build the most technically robust and strategically impactful ecosystem for business buying. Every day, we innovate, engineer, and solve complex problems, ensuring that Amazon Business continues to lead in procurement technology. If you are passionate about shaping technical strategy, building solutions, and tackling complex integration challenges, join us in shaping the future of business procurement.
As a Sr Business Intelligence Engineer on the Global Integrations team, you will be responsible for harnessing the full potential of data-driven insights to guide strategic decisions and drive business growth globally. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to partner with GTM, product and technical teams across Amazon Business.
You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities globally. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job responsibilities
Bachelor's degree in Computer Science, Mathematics, Statistics, Operations Research.
5+ years of SQL experience, analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
7+ years of professional experience
Proficiency in SQL and in one or more programming language ? Python, Scala, Ruby and Java.
Experience in Statistical Analysis packages such as R, SAS and Matlab
Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture.
Knowledge on using business intelligence reporting tools ? Tableau/QuickSight/Looker.
Excellent problem solving skills, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form.
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
About the team
Our mission is to build the most technically robust and strategically impactful ecosystem for business buying. Every day, we innovate, engineer, and solve complex problems, ensuring that Amazon Business continues to lead in procurement technology. If you are passionate about shaping technical strategy, building solutions, and tackling complex integration challenges, join us in shaping the future of business procurement.
Basic Qualifications
10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience in Statistical Analysis packages such as R, SAS and Matlab
Knowledge of data management fundamentals, data storage principles, ETL, Data Modeling, and Data Architecture.
Knowledge on using business intelligence reporting tools ? Tableau/QuickSight/Looker.
Excellent problem solving skills, combined with the ability to present your findings/insights clearly and compellingly in both verbal and written form.
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
5+ years of experience as a Business/Financial Analyst, BI Engineer or Systems Analyst preferably in an internet-based company with large, complex data sources.
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience conducting large scale data analysis to support business decision making.
Ability to deal with ambiguity and competing objectives in a fast paced environment.
Proven problem solving skills, attention to detail, and exceptional organizational skills
Track record of strong interpersonal and communication (verbal and written) skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses and contribute to documents.
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 $117,300/year in our lowest geographic market up to $202,800/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
- Java
- Oracle
- SQL
- JAVA
- Architecture
- Python
- AWS
- Analytical Techniques
- B2B
- Business Intelligence
- Data Analysis
- Data Architecture
- Java
- Ambiguity
- Analysis
- Attention to Detail
- Business Growth
- Business intelligence Reporting
- Business Objectives
- Buying
- Communication
- Computer Science
- Data Management
- Data Modeling
- Data Storage
- Decision Making
- Design
- DynamoDB
- Ecosystem
- Global Business
- Imagination
- Inclusive
- Insight
- Integration
- Intelligence
- Internet
- Leadership
- Management
- Mathematics
- MATLAB
- NoSQL
- Onboarding
- Organizational Skills
- Orientation
- Passionate
- Problem Solving
- Programming Language
- Reporting
- Research
- Retail
- Science
- Shaping
- Statistical Analysis
- Statistics
- Strategy
- Verbal Communication
- Written and Verbal Communication
