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3 Feb 2016

Full-Time Senior Financial Analyst – Consumer Marketing Analytics @ Seattle, US

Amazon – Posted by Jacqui Hull –  Seattle, Washington, United States

Job Description

Amazon Consumer Marketing Finance seeks a SFA. This role supports the Consumer Marketing Analytics (CMA) team, which is responsible for generating customer understanding and insights, Customer Targeting applications and Marketing Attribution. Products that CMA develops are built from the ground up, cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics and other fields like Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally. This role will influence the metrics that make customer messaging more personal.

The SFA would be a Finance ambassador for the CMA team and communicate complex econometric models to a non-technical audience in a crisp manner. The successful candidate will have strong statistical modeling capabilities, strong analytic and communication skills, and have a passion for using data to drive business decisions. We are looking for a self-starter that attacks complex business problems with curiosity, and dives deep to identify root causes. This individual thrives by providing data-driven decision support and business intelligence that is timely, accurate, and actionable.

Basic Qualifications

  • MBA required
    · Experience with statistical modeling tools (R, STATA, SAS, etc.)
    · 2+ years of relevant Finance experience

Preferred Qualifications

  • 5+ years hands-on experience in data analysis, statistical analysis and predictive modeling
    · Advanced knowledge of Excel
    · Strong analytical, financial modeling and reporting skills
    · Persuasive oral/written communication skills
    · Knowledge of SQL
    · 4+ years of Finance experience
    · Familiarity with Micro StrategyAmazon is an Equal Opportunity-Affirmative Action Employer – Female/Minority/Disability/Vet

How to Apply

please email a copy of your resume to [email protected] Thank you!

Job Categories: Data Scientist / Statistician. Job Types: Full-Time. Job Tags: finance, MBA, r, SAS, and Stata. Salaries: More than $100,000.

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