Amazon Fashion drives multiple core and advance science initiatives. The approach and technology are nothing short of disruptive and promise to challenge traditional approaches and change the way the industry operates.
We are hiring a Senior Business Intelligence Engineer (BIE) to help us accelerate our efforts in improving Amazon Fashion. This person will build new business intelligence solutions endtoend in partnership with our F2 Finance partners. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights answer business questions and drive growth.
In addition to leading the design development and management of our analytical tools and reporting we will also look to this person to provide thought leadership and business analysis support as needed. This particular role will partner closely with our F2 Finance team to build a onestop shop dashboard to provide leadership with increased visibility into their input and output metrics as well as support other reporting requirements through the F2 organization. The successful candidate will demonstrate strong business acumen experience in developing reporting and analytical infrastructures strong communication skills an ability to work effectively with cross functional teams and an ability to work in a fast paced and everchanging environment.
Key job responsibilities Own design develop document and manage scalable solutions for new and ongoing metrics reports analyses visualizations and dashboards to support business needs Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals. Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it Develop queries and visualizations for adhoc requests and projects as well as ongoing reporting. Design and drive experiments to form actionable recommendations. Present to business leaders in both adhoc forums and routine business reviews (MBR/QBR) to drive decisions Be able to swiftly prioritize and multi task based on severity level and strong business judgement.
10 years of professional or military experience 5 years of SQL experience Experience programming to extract transform and clean large (multiTB) 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 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.
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