Aitopics
Sr. Business Intelligence Engineer, GTMC - Modeling, Analytics, and Research Sci
Aitopics, Seattle, Washington, us, 98127
Sr. Business Intelligence Engineer, GTMC - Modeling, Analytics, and Research Science
Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do ambiguous, complex, and difficult challenges excite you? Are you experienced with people analytics and diverse populations? If yes, this may be the team for you.GTMC is seeking an experienced Business Intelligence Engineer (BIE) who is passionate about using data to drive critical business decisions for senior leadership. As a BIE you will be delivering data insights and deep diving novel questions to give our leaders access to data that is timely, accurate, and actionable. You will also partner with senior leaders throughout Amazon to drive insights, align scalable metrics, and track measurable results. Leveraging your passion for data, you will help create key analytical frameworks for our internal customers and business partners to utilize.
Key job responsibilities
Conduct time-sensitive detailed data driven analyses to uncover DEI business trends or drivers of changes in the DEI metrics.Utilize database technologies to design, develop, and evaluate analyses and innovative business intelligence tools and reporting.Perform DEI-specific data extracts and build data pipelines to develop reports and dashboards.Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.Build business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions.
About the teamThe GTMC Modeling Analytics Research Science (MARS) team leads reporting on Amazonians for the Senior Team leadership, the Amazon Board, and external/public reporting. The team responds to Senior Team questions on all employees for regular reporting and topical deep dives. This work requires precise data accuracy with results that align across mechanisms and reporting, and scales for leaders to self-serve. We require robust data infrastructure and business intelligence capabilities that enable critical visibility into workforce representation, diversity indicators, and retention risks across the employee lifecycle. We work to identify new metrics to answer new questions at scale for evolving populations and business problems to drive workplace decisions for leaders.
Basic Qualifications10+ years of professional or military experience5+ years of SQL experienceExperience programming to extract, transform and clean large (multi-TB) data setsExperience with theory and practice of design of experiments and statistical analysis of resultsExperience with AWS technologiesExperience in scripting for automation (e.g. Python) and advanced SQL skills.Experience with theory and practice of information retrieval, data science, machine learning and data miningExperience managing, analyzing and communicating results to senior leadershipExperience working directly with business stakeholders to translate between data and business needs
Preferred QualificationsExperience with data visualization using Tableau, Quicksight, or similar tools
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.#J-18808-Ljbffr
Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do ambiguous, complex, and difficult challenges excite you? Are you experienced with people analytics and diverse populations? If yes, this may be the team for you.GTMC is seeking an experienced Business Intelligence Engineer (BIE) who is passionate about using data to drive critical business decisions for senior leadership. As a BIE you will be delivering data insights and deep diving novel questions to give our leaders access to data that is timely, accurate, and actionable. You will also partner with senior leaders throughout Amazon to drive insights, align scalable metrics, and track measurable results. Leveraging your passion for data, you will help create key analytical frameworks for our internal customers and business partners to utilize.
Key job responsibilities
Conduct time-sensitive detailed data driven analyses to uncover DEI business trends or drivers of changes in the DEI metrics.Utilize database technologies to design, develop, and evaluate analyses and innovative business intelligence tools and reporting.Perform DEI-specific data extracts and build data pipelines to develop reports and dashboards.Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.Build business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions.
About the teamThe GTMC Modeling Analytics Research Science (MARS) team leads reporting on Amazonians for the Senior Team leadership, the Amazon Board, and external/public reporting. The team responds to Senior Team questions on all employees for regular reporting and topical deep dives. This work requires precise data accuracy with results that align across mechanisms and reporting, and scales for leaders to self-serve. We require robust data infrastructure and business intelligence capabilities that enable critical visibility into workforce representation, diversity indicators, and retention risks across the employee lifecycle. We work to identify new metrics to answer new questions at scale for evolving populations and business problems to drive workplace decisions for leaders.
Basic Qualifications10+ years of professional or military experience5+ years of SQL experienceExperience programming to extract, transform and clean large (multi-TB) data setsExperience with theory and practice of design of experiments and statistical analysis of resultsExperience with AWS technologiesExperience in scripting for automation (e.g. Python) and advanced SQL skills.Experience with theory and practice of information retrieval, data science, machine learning and data miningExperience managing, analyzing and communicating results to senior leadershipExperience working directly with business stakeholders to translate between data and business needs
Preferred QualificationsExperience with data visualization using Tableau, Quicksight, or similar tools
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.#J-18808-Ljbffr