Amazon Sr Business Intelligence Engineer People Analytics Compensation Excellence 

United States, Washington, Seattle 

227839592

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.Key job responsibilities
• Conduct time-sensitive detailed data driven analyses to uncover trends or drivers of changes in the compensation metrics.
• Utilize database technologies to design, develop, and evaluate analyses and innovative business intelligence tools and reporting.
• Perform compensation-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 teamKey job responsibilities- Lead the integration of new Self ID data to IXT reporting

- 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
- Experience managing, analyzing and communicating results to senior leadership
- Experience working directly with business stakeholders to translate between data and business needs

- Experience with data visualization using Tableau, Quicksight, or similar tools