BIE, Americas Emerging Programs

Employment Type

: Full-Time

Industry

: Information Technology



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Do you want to work hard, have fun, and make history? Are you intellectually curious with a knack for asking insightful business questions, diving (really) deep with data, and uncovering new insights that lead to recommendations and programs that move the organization forward in a meaningful (measurable) way?
Amazon Customer Service, is seeking a talented Business Intelligence Engineer for our Customer Service team. In this role you will be responsible for solving complex and ambiguous analytical challenges that produce critical business insights. The ideal candidate has deep business acumen, a deep technical and analytical background, and earns trust by delivering results.

Responsibilities include, but are not limited to:
Understand required data, identify where data sets reside and their underlying structure to manipulate through SQL queries
Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity
Support our growing team with clean, actionable data
Internalize our business, end-to-end, in order to determine appropriate KPIs and perform analysis to understand the impacts of business initiatives
Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact




Bachelors in business, finance, computer science, or mathematics
4+ years experience in an analytical, consulting, strategy, or finance role
Demonstrated experience with statistics (correlations, multivariate regressions, causal analysis, etc.)
Expertise in database and statistical software and methods (SQL, R, Stata, etc.)
Experience with Python, R, VBA, or other automation-focused languages



Experience with advanced statistical methods (e.g., fixed effects, predictive modeling, cluster analysis, time series modeling) a plus
Ability to conduct sophisticated and creative analysis of complex data
Experience translating findings into compelling recommendations, polished deliverables, and actionable programs
Outstanding attention to detail
Proven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers
A thirst for knowledge. Naturally curious
Ability to prioritize and work well in an ambiguous environment with competing demands
Deep interest in research, data, analyzing data and the ability to see beyond the numbers to drive sound decision-making


Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


Associated topics: .net, architecture, backend, back end, c#, design, devops, maven, php, programming

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