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Fashion and Fitness Marketing at Amazon is looking for an exceptional BIE who will help deliver the roadmap for data-driven Marketing insights. The right candidate will thrive in ambiguous situations and love to build from the ground up. You will own metrics, dashboarding and measurement across our portfolio of products that will enable our program to scale quickly. You will use analytical and statistical rigor to answer complex problems via data analysis. Outputs from your analysis will directly help improve Fashion & Fitness business strategy, our portfolio of products (including our innovation roadmap), and help us achieve our goals. Learnings will be extensible to broader lifestyle categories.Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
· Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it
· Use data mining, data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business
· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.
· Measure and analyze existing offering for opportunities to innovate and improve, providing additional benefits to customers
· Identify new opportunities for Amazon to improve our Fashion and Fitness offerings
- 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
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