Responsibilities Leads and nurtures a team of talented analysts and scientists with a focus on customer acquisition, retention and end–to–end customer experiences. Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities. Translates business and analytics strategies into multiple short–term and long–term projects, and manages end–to–end execution. Activates analytics insights that lead to decisions or better hypotheses, and evangelizes innovative analytics ideas that enable new opportunities. Drives analytics rigor by inspecting and experimenting methodologies, improving techniques, and creating a learning culture. Drives data roadmap from data quality to data visualization, and marshals resources from multiple functions to deliver scalable solutions. Roles–model "win–together" while challenging status quo and driving changes across teams regardless of organizational structure. Examples of deliverables: Data insights to inform the future: development of KPIs, business performance diagnostics, customer behavioral analyses, self–service analytics, and etc. to drive actionable customer insights.Data products to transform customer experiences: personalized features, data predictions, propensity modeling, and etc. to make customer experiences more intelligent with data.Data capabilities to improve productivity: data roadmap with data engineering partners, continuous process improvement, tool and platform adoption, and etc. to raise data standards.
Qualifications 10+ years of diverse analytics experience on end–to–end customer–level data Proven experience in leading a team of analysts and/or scientists Strong passion in uncovering strategic opportunities and solving business problems Proficient with SQL Experience in statistical modeling techniques Experience in data gap assessments, requirements and infrastructure implementation Outstanding communications skills with both technical and non–technical colleagues Undergraduate degree a must. Masters in a quantitative discipline preferred
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