Business Intelligence Engineer, Intelligent Talent Acquisition
Job Description
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.The Business Intelligence Engineer role in ITA is responsible for creating data modeling necessary to facilitate reporting and analytics, acquiring new data sources, and building out comprehensive data visualizations for stakeholders. This role is truly a jack of all trades; it will be part process improvement, part analytics, part data modeling, and part strategic design. If you can seamlessly move across these various skillsets then you’ll thrive in this role.Key job responsibilitiesThe role requires a uniquely gifted analytics expert who is naturally curious and runs towards big challenges. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to see and feel a tangible impact to your team’s work, this is the role for you.Key Responsibilities Include:* Solving complex business problems with simple, analytical reports, dashboards, visualizations, and analyses.* Partnering with our Data Engineering and Data Science teams to design, build, and measure data models and metrics using data driven tools.* Building out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics.* Being the voice of your customers; communicate the needs of candidates, associates, and staffing coordinators to your stakeholders via the data.About the teamThe Intelligent Talent Acquisition (ITA) team supports the Amazon Talent Acquisition (ATA) organization by transforming data into insights on hourly associate and corporate hiring within Amazon. While ATA is responsible for the management of the hourly and corporate talent supply chain, the ITA team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.
Locations
- United States, TX, Irving, Irving, TX, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
140,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceintermediate
- - Experience with data visualization using Tableau, Quicksight, or similar toolsintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience in Statistical Analysis packages such as R, SAS and Matlabintermediate
- - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingintermediate
Required Qualifications
- - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 3 years)
- - Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
- - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)
Preferred Qualifications
- - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
- - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
- 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. (experience)
Responsibilities
- The role requires a uniquely gifted analytics expert who is naturally curious and runs towards big challenges. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to see and feel a tangible impact to your team’s work, this is the role for you.
- Key Responsibilities Include:
- * Solving complex business problems with simple, analytical reports, dashboards, visualizations, and analyses.
- * Partnering with our Data Engineering and Data Science teams to design, build, and measure data models and metrics using data driven tools.
- * Building out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics.
- * Being the voice of your customers; communicate the needs of candidates, associates, and staffing coordinators to your stakeholders via the data.
- About the team
- The Intelligent Talent Acquisition (ITA) team supports the Amazon Talent Acquisition (ATA) organization by transforming data into insights on hourly associate and corporate hiring within Amazon. While ATA is responsible for the management of the hourly and corporate talent supply chain, the ITA team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.
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Business Intelligence Engineer, Intelligent Talent Acquisition
Job Description
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.The Business Intelligence Engineer role in ITA is responsible for creating data modeling necessary to facilitate reporting and analytics, acquiring new data sources, and building out comprehensive data visualizations for stakeholders. This role is truly a jack of all trades; it will be part process improvement, part analytics, part data modeling, and part strategic design. If you can seamlessly move across these various skillsets then you’ll thrive in this role.Key job responsibilitiesThe role requires a uniquely gifted analytics expert who is naturally curious and runs towards big challenges. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to see and feel a tangible impact to your team’s work, this is the role for you.Key Responsibilities Include:* Solving complex business problems with simple, analytical reports, dashboards, visualizations, and analyses.* Partnering with our Data Engineering and Data Science teams to design, build, and measure data models and metrics using data driven tools.* Building out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics.* Being the voice of your customers; communicate the needs of candidates, associates, and staffing coordinators to your stakeholders via the data.About the teamThe Intelligent Talent Acquisition (ITA) team supports the Amazon Talent Acquisition (ATA) organization by transforming data into insights on hourly associate and corporate hiring within Amazon. While ATA is responsible for the management of the hourly and corporate talent supply chain, the ITA team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.
Locations
- United States, TX, Irving, Irving, TX, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
140,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceintermediate
- - Experience with data visualization using Tableau, Quicksight, or similar toolsintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience in Statistical Analysis packages such as R, SAS and Matlabintermediate
- - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingintermediate
Required Qualifications
- - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 3 years)
- - Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
- - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)
Preferred Qualifications
- - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
- - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
- 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. (experience)
Responsibilities
- The role requires a uniquely gifted analytics expert who is naturally curious and runs towards big challenges. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to see and feel a tangible impact to your team’s work, this is the role for you.
- Key Responsibilities Include:
- * Solving complex business problems with simple, analytical reports, dashboards, visualizations, and analyses.
- * Partnering with our Data Engineering and Data Science teams to design, build, and measure data models and metrics using data driven tools.
- * Building out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics.
- * Being the voice of your customers; communicate the needs of candidates, associates, and staffing coordinators to your stakeholders via the data.
- About the team
- The Intelligent Talent Acquisition (ITA) team supports the Amazon Talent Acquisition (ATA) organization by transforming data into insights on hourly associate and corporate hiring within Amazon. While ATA is responsible for the management of the hourly and corporate talent supply chain, the ITA team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.