10+ years of experience working in web, product, marketing, or other related analytics fields. Ability to influence with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
5+ years working in analytics leveraging product data, monetization data, customer analytics, customer insights, or related field/function. Demonstrated ability to deeply analyze product and funnel data to inform marketing and product decisions.
3-5 years' experience managing business data analysts and/or data scientists with a proven track record of building high-performing analytics teams and developing successful analysts/data scientists.
Strong modeling foundation is a plus, including hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression,
tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing.
Excellent critical thinking and problem solving skills
Experience with customer segmentation, data enrichment tools and technologies, and personalization at scale (preferably in a B2C context).
Highly proficient in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python a plus.
A great storyteller and communicator and can build relationships with a diverse set of stakeholders, including both technical and non-technical colleagues.
Ability to manage complex, cross-functional projects end-to-end and drive organizational change via both clarity of strategy and executional rigor.
Passionate about mentoring others and the advancement of the team
Genuine customer empathy to find solutions to improve the lives of our customers
MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience is preferred.