Amazon

The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, analytics and pipeline development skills.. Collaborate with research and product teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning (ML) and statistical models.. Aggregate, analyze, and visualize large-scale datasets across multiple sources to guide discovery of delivery process problems.. Develop and drive best practices in reporting and analysis: data integrity, design testing, analysis, validation, and documentation.. Experience with theory and practice of information retrieval, data science, machine learning and data mining

business intelligence engineer

Description Are you passionate about being a part of a team where your work has a meaningful impact on communities? Do you get excited about building process in an ambiguous, greenfield environment? Are you looking for an opportunity to support Amazon’s continued ability to deliver smiles in communities? If so, come work with us at the Community Operations (CommOps) team. CommOps improves the communities where we work and live by identifying and mitigating operational issues and driving positive social impacts. CommOps is hiring a Senior Business Intelligence Engineer (Sr. BIE). This role will primarily support the Community Insights team, which spans Business Intelligence (BI) and Research Science (DE) functional areas. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, analytics and pipeline development skills. This role requires close engagement with research scientists, principal product managers, and program managers to generate decisions impacting organizational strategic direction. Successful members of this team have a high bar for ownership and work autonomously to create high-quality analyses and reporting. They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights. They find timely answers buried in large data sets and complex systems, identify root causes, and are obsessed with generating actionable business insights. Key job responsibilities <ul><li> Partner with in-house scientists, product and program teams to translate requirements into effective end-to-end analytical solutions.</li><li> Collaborate with research and product teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning (ML) and statistical models.</li><li> Aggregate, analyze, and visualize large-scale datasets across multiple sources to guide discovery of delivery process problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights via written recommendations.</li><li> Develop and drive best practices in reporting and analysis: data integrity, design testing, analysis, validation, and documentation.</li><li> Learn new technology and techniques to support product and process innovation.</li><li> Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. </li></ul>About The Team Amazon Community Operations is helping Amazon become the most in-demand company locally, by anticipating our communities’ needs and building positive net impact anywhere we operate. CommOps improves the communities where we work and live by identifying and mitigating operational issues and driving positive social impacts. Amazon’s core competency in end-to-end logistics is one of the primary reasons that communities turn to us for help. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | New York, NY, USA Basic Qualifications <ul><li> 5+ years of professional or military experience</li><li> 5+ years of SQL experience</li><li> Experience programming to extract, transform and clean large (multi-TB) data sets</li><li> Experience with theory and practice of design of experiments and statistical analysis of results</li><li> Experience with AWS technologies</li><li> Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li> Experience with theory and practice of information retrieval, data science, machine learning and data mining </li></ul>Preferred Qualifications <ul><li> Experience working directly with business stakeholders to translate between data and business needs</li><li> Experience managing, analyzing and communicating results to senior leadership </li></ul>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 $104,300/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. Company - Amazon.com Services LLC Job ID: A2577838

START NEW SEARCH