Senior Marketing Data Analyst, AWS Marketplace Demand Generation
1 month ago
Transform data into actionable insights that inform marketing strategy and drive business results. Join our team as a Senior Marketing Data Analyst to develop data-driven solutions to optimize our marketing efforts across messaging, channels, and features.
About the RoleThis is a critical position that will collaborate with stakeholders in marketing, product, engineering, and sales to enhance customer engagement relevance, predict customer needs, and measure marketing impact.
Key Responsibilities- Multi-Touch Attribution and Market Mix Modeling: Develop and maintain sophisticated attribution models to accurately measure the impact of marketing channels and optimize cross-channel marketing strategies.
- Marketing Impact Measurement: Apply causal inference techniques to quantify the true impact of marketing initiatives.
- Customer Lifetime Value Prediction: Create predictive models to estimate CLV and inform strategies for customer acquisition, retention, and upsell opportunities.
- A/B Testing and Experimentation: Partner with marketing teams to design, execute, and analyze A/B tests and controlled experiments that optimize campaigns and marketing efforts.
- Customer Segmentation and Personalization: Design and implement data-driven segmentation strategies to identify customer personas and personalize marketing communications at scale.
- Conversion Optimization: Build models to prioritize high-quality leads for sales teams, improving sales efficiency and conversion rates.
AWS Marketplace enables enterprises and startups to optimize how they discover, migrate, procure, and deploy trusted third-party software, data, and professional services as they migrate to and build in the cloud. The AWS Marketplace Marketing team exists to support this growth with global go-to-market (GTM) strategies and programs intended to accelerate discovery and adoption of AWS Marketplace-listed solutions.
The ideal candidate will have a strong understanding of statistical analysis and modeling techniques, including regression, clustering, and causal inference.
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