Description
- Experience building measures and metrics, and developing reporting solutions
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Completed Bachelor's degree
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience with Data Modeling
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 $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.
We at Amazon Pharmacy are on a mission to reinvent pharmacy and are committed to building world’s most customer-centric pharmacy experience. We do this by delivering secure, convenient and price competitive pharmacy experience. The central analytics and data platform team plays a pivotal role in enabling data based business decisions.
Do you want to be in the forefront of engineering big data solutions that takes analytics at Amazon Pharmacy to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing needs in the analytical space? We are looking for a rockstar Business Intelligence Engineer to be part of our data warehousing and analytics team. We are building real time analytical platforms using big data tools and AWS technologies.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert on data modeling, ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They are self-starters, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced team.
#Everydaybetter
Key job responsibilities
Partner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy.
- Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
- Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant.
- Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
About the team
We accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision: (1) we provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data. (2) we leverage our position as a central data broker to identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency (3) we continuously look ahead to identify common patterns in analytics and ‘pave the road’ for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally (4) we leverage our position as a central analytics team to surface key performance indicators for product and process improvements spanning across various pharmacy departments.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Completed Bachelor's degree
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience with Data Modeling
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 $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.
We at Amazon Pharmacy are on a mission to reinvent pharmacy and are committed to building world’s most customer-centric pharmacy experience. We do this by delivering secure, convenient and price competitive pharmacy experience. The central analytics and data platform team plays a pivotal role in enabling data based business decisions.
Do you want to be in the forefront of engineering big data solutions that takes analytics at Amazon Pharmacy to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing needs in the analytical space? We are looking for a rockstar Business Intelligence Engineer to be part of our data warehousing and analytics team. We are building real time analytical platforms using big data tools and AWS technologies.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert on data modeling, ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They are self-starters, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced team.
#Everydaybetter
Key job responsibilities
Partner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy.
- Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
- Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant.
- Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
About the team
We accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision: (1) we provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data. (2) we leverage our position as a central data broker to identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency (3) we continuously look ahead to identify common patterns in analytics and ‘pave the road’ for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally (4) we leverage our position as a central analytics team to surface key performance indicators for product and process improvements spanning across various pharmacy departments.
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