Amazon
Business Intelligence Engineer, Selling Partner Promotions
Amazon, Seattle, Washington, us, 98127
Description
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need curious, thoughtful, and innovative people. Promotions are a key part of the Amazon flywheel: they bring excitement and value to customers, drive sales for selling partners, and grow Amazon's long-term free cash flow (LTFCF). Experimentation, automation and scalability are a core part of our mission statement. Our team vision is to create an ecosystem in which customers can find a wide range of compelling promotional discounts across Amazon, and selling partners can grow their businesses through creating attractive offers to customers.
We are seeking a proven and passionate BIE with the unique opportunity to become a pivotal player in shaping the future of Amazon's Consumer Promotions business. In this role, you will lead Data Analytics for WW Promotions by partnering with all key parts of Amazon's e-commerce business: Shopping, Selling Partners, Supply chain, Personalization, Pricing and Promotions. Immerse yourself in an environment primed for growth and innovation, where your technical expertise will be instrumental in supporting our expanding Promotion ecosystem. In this role, you will collaborate closely with product, science, engineering, and business leaders to translate their strategic objectives into robust data analytics solutions and business critical metrics.
Key job responsibilities
Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance
Develop data-driven analysis to understand Amazon growth drivers and demand pattern
Develop solutions that utilize the highest standards of analytical rigor and data integrity.
Partner with scientist and engineers to implement optimal analyses that drive to the root of the issue and create actionable insights or paths to solution.
Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets, and translating them into impactful business solutions
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, 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.
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need curious, thoughtful, and innovative people. Promotions are a key part of the Amazon flywheel: they bring excitement and value to customers, drive sales for selling partners, and grow Amazon's long-term free cash flow (LTFCF). Experimentation, automation and scalability are a core part of our mission statement. Our team vision is to create an ecosystem in which customers can find a wide range of compelling promotional discounts across Amazon, and selling partners can grow their businesses through creating attractive offers to customers.
We are seeking a proven and passionate BIE with the unique opportunity to become a pivotal player in shaping the future of Amazon's Consumer Promotions business. In this role, you will lead Data Analytics for WW Promotions by partnering with all key parts of Amazon's e-commerce business: Shopping, Selling Partners, Supply chain, Personalization, Pricing and Promotions. Immerse yourself in an environment primed for growth and innovation, where your technical expertise will be instrumental in supporting our expanding Promotion ecosystem. In this role, you will collaborate closely with product, science, engineering, and business leaders to translate their strategic objectives into robust data analytics solutions and business critical metrics.
Key job responsibilities
Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance
Develop data-driven analysis to understand Amazon growth drivers and demand pattern
Develop solutions that utilize the highest standards of analytical rigor and data integrity.
Partner with scientist and engineers to implement optimal analyses that drive to the root of the issue and create actionable insights or paths to solution.
Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets, and translating them into impactful business solutions
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, 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.