Senior Business Intelligence Data Analyst
3 weeks ago
The GTMC Modeling Analytics Research Science (MARS) team is seeking an experienced Business Intelligence Engineer to lead reporting on Amazonians for the Senior Team leadership, the Amazon Board, and external/public reporting. As a key member of the team, you will be responsible for delivering data insights and deep diving novel questions to give our leaders access to data that is timely, accurate, and actionable.
Key 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 Team
The GTMC MARS team is a dynamic and collaborative group of professionals who are passionate about using data to drive critical business decisions. We work closely with senior leaders throughout Amazon to drive insights, align scalable metrics, and track measurable results. If you are a data enthusiast who is passionate about using data to drive business outcomes, we encourage you to apply for this exciting opportunity.
Basic Qualifications
10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience 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 mining
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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