Amazon Web Services, Inc.
Economics, Economist, amazon business
SeniorEconomist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Economist at Amazon Web Services, Inc.. Skills: Econometrics, Brand measurement, Causal inference. Design measurement framework. Build measurement framework”
What You'll Achieve.
Optimize brand investment; Maximize overall returns; Connect metrics to outcomes
Industry & Context.
Solve measurement questions; Answer critical questions; Frame investment questions
What They're Looking For.
Must Have
PhD in economics
Nice to Have
Experience in analytics, Applied economics experience, Develop analytic vision, Build statistical models, Industry experience, Consulting experience, Government research experience, Academic research experience, Manage marketing performance, Measure marketing performance, Present to senior leadership, Knowledge of ML methods, Integrate ML with econometrics
What You'll Do.
Design measurement framework
Build measurement framework
Develop econometric models
Estimate causal impact
Quantify brand investment
Quantify investment returns
Connect brand metrics
Connect metrics to outcomes
Apply causal inference methods
Consult with stakeholders
Frame investment tradeoffs
Stay current on literature
Collaborate with scientists
Collaborate with engineers
Operationalize models
Integrate brand measurement
How You'll Work.
Team & Collaboration
Marketing leaders; Finance teams; Strategy teams; Data scientists; Data engineers
Communication Scope
Present findings; Communicate results
Full Job Description
Are you passionate about solving some of the most challenging and impactful measurement questions in B2B marketing? AWS Marketing is looking for an Economist to develop the science behind how we measure and optimize brand awareness investment. This is a greenfield opportunity to build a brand measurement capability from the ground up — defining the frameworks, methodologies, and best practices that will shape how AWS thinks about upper-funnel investment. In this role, you will lead the design and development of a measurement framework for AWS's brand and upper-funnel marketing investments. You will work at the intersection of economics, marketing science, and business strategy to answer critical questions: How much should AWS invest in brand awareness globally, and over what time horizon? What is the impact of brand on customer preferences such as willingness to pay and cost of conversion? How should brand and demand generation investments be combined to maximize overall returns? How do upper-funnel salience metrics connect to revenue and long-term business outcomes? This is as much a consulting role as it is an analytical one. You will frame investment questions and present findings to senior leadership (VP-level and above), operate independently in a space where established methodology does not yet exist in B2B marketing, and bring external best practices to inform a novel, credible approach tailored for AWS. Key job responsibilities - Design and build a rigorous measurement framework for brand and upper-funnel marketing investment at AWS - Develop econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue - Quantify the optimal level of brand investment and the returns relative to other marketing channels - Connect upper-funnel brand metrics (e.g., aided/unaided awareness, consideration, salience) to downstream business outcomes including revenue and customer lifetime value - Apply causal inference
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