Amazon
Business Intelligence Engineer, Worldwide Defect Elimination Concessions Analyti
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Worldwide Defect Elimination Concessions Analytics
Job ID: 2782229 | Amazon.com Services LLCHow often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the WWDE - Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers.To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE). The Business Intelligence Engineer will partner with Software Developers, Data Engineers, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and pipeline development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirit and welcoming culture. To thrive, you must be detail-oriented, enthusiastic, and flexible; in return, you will gain experience in one of Amazon's core businesses.Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs.Develop the end-to-end automation of pipelines for applications and ML models.Apply analytic skills to extract meaningful insights and learnings from large and complicated data sets.Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience writing complex SQL queriesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingBachelor's DegreePREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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
this link .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
this link .Posted:
August 12, 2024
#J-18808-Ljbffr
Job ID: 2782229 | Amazon.com Services LLCHow often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the WWDE - Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers.To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE). The Business Intelligence Engineer will partner with Software Developers, Data Engineers, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and pipeline development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirit and welcoming culture. To thrive, you must be detail-oriented, enthusiastic, and flexible; in return, you will gain experience in one of Amazon's core businesses.Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs.Develop the end-to-end automation of pipelines for applications and ML models.Apply analytic skills to extract meaningful insights and learnings from large and complicated data sets.Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.BASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience writing complex SQL queriesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingBachelor's DegreePREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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
this link .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
this link .Posted:
August 12, 2024
#J-18808-Ljbffr