Amazon
Business Intelligence Engineer, Talent Management | Executive Reporting Analytic
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, Talent Management | Executive Reporting Analytics, GTMC SIERRA
Job ID: 2814386 | Amazon.com Services LLCGlobal Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Modeling Analytics and Research Science (MARS) team within the GTMC Science, Insights, Engineering Research, Reporting and Analytics (SIERRA) team is a team of Research Scientists, Data Scientists, and BIEs with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with Amazon’s Senior Vice President of PXT (People eXperience and Technology) and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.MARS is looking for experienced analysts to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team to self-serve and make informed decisions in a fast-paced, ambiguous business environment.Responsibilities:
Align with leaders and customers to translate business issues into testable hypotheses answerable with data.Develop and execute analyses to drive talent insights.Create data capture and measurement strategies that drive business action.Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.Gather new data, and/or creatively use existing data to propose metrics and present them in a compelling but easily understood way to a non-statistical audience.Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.Compile results in a concise, meaningful, and actionable format and share findings with senior leadership.Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.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 writing complex SQL queries.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.Posted:
September 26, 2024 (Updated about 2 hours ago)
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Job ID: 2814386 | Amazon.com Services LLCGlobal Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Modeling Analytics and Research Science (MARS) team within the GTMC Science, Insights, Engineering Research, Reporting and Analytics (SIERRA) team is a team of Research Scientists, Data Scientists, and BIEs with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with Amazon’s Senior Vice President of PXT (People eXperience and Technology) and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.MARS is looking for experienced analysts to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team to self-serve and make informed decisions in a fast-paced, ambiguous business environment.Responsibilities:
Align with leaders and customers to translate business issues into testable hypotheses answerable with data.Develop and execute analyses to drive talent insights.Create data capture and measurement strategies that drive business action.Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.Gather new data, and/or creatively use existing data to propose metrics and present them in a compelling but easily understood way to a non-statistical audience.Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.Compile results in a concise, meaningful, and actionable format and share findings with senior leadership.Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.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 writing complex SQL queries.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.Posted:
September 26, 2024 (Updated about 2 hours ago)
#J-18808-Ljbffr