Description

　　Amazon's Traffic Insights and Analytics team is seeking a self-directed Business Intelligence Engineer to develop metrics and KPIs needed to measure the performance and health of our traffic programs. With over a billion product offers and ads worldwide, our programs are some of the largest across Amazon. This role operates as a subject-matter expert on business intelligence across traffic channels (Search, Social, Email, Push, and Creators), and will work directly with our advertising partners (e.g., Meta, Google, Microsoft, Tiktok, Pinterest etc), market intelligence tools and internal stakeholder teams to solve challenging data problems that impact traffic.

　　Key job responsibilities

　　Build out comprehensive metrics to measure operational health of Traffic programs

　　Drive continuous improvements in our business intelligence solutions to derive deeper and more accurate insights

　　Investigate and integrate data sources from across the company to enable holistic data analysis at a global level for our Traffic programs

　　Build the appropriate data visualizations for different metrics to allow quick understanding of our programs' health and performance

　　Develop automated monitors and alarms to detect anomalous data

　　Communicate insights based on data analyses to partners and leadership

　　Develop forecasting models and associated forecast accuracy metrics

　　About the team

　　Traffic Insights and Analytics organization is responsible for understanding the continuously evolving customer behavior trends and its impact on site traffic. Using data-driven strategies, we specialize in extracting actionable insights around traffic, through both internal and external data sources. We work in close collaboration with marketing channels (Search, Social, Email, Push, and Creators) to ensure a unified and holistic approach to traffic management. Our work has direct impact on business metrics for teams across Amazon – ranging from Retail Categories to Amazon Ads – where site traffic is a key input to managing ongoing performance as well as building forward-looking plans.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　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 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. Applicants should apply via our internal or external career site.