Director of Business Strategy & Analytics, Scribd

• 10+ years working in data science or analytics, with 3+ years of direct report management experience
• Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership
• Strong cross functional capabilities and the ability to influence across product, content acquisition, marketing, finance, and more
• Create analytical frameworks to measure team success: partner with cross-functional teams to define success metrics; create approaches to track the data and troubleshoot errors; quantify and evaluate the data
• Player-coach: enjoys getting their hands dirty and thrives in the “player-coach” model by hiring A players, coaching and guiding them, while at the same time diving deep to deliver key results if necessary
• The ability to manage and explain relationships between inversely correlated metrics and execute against a strategy to balance both
• Outstanding analytical and problem-solving skills with advanced knowledge of statistics and quantitative models and with hands-on technical capabilities: SQL mastery, fluency in Python and R (or other statistical analysis packages), and experience designing and analyzing hypothesis-driven experiments and multivariate tests
• Undergraduate Degree or equivalent combination of education and experience in a related field. * Candidates for this role typically have a degree in Economics, Data, Computer Science, Mathematics, or related discipline

Desirable

• Act as a strategic advisor to internal stakeholders to guide their selection of “metrics that matter”
• Lead cross-functional efforts to bring together data from multiple data sources to create reports and dashboards that provide product insights to drive strategic business decisions
• Define a self-service strategy for product analytics to support a variety of data stakeholders including Product Management and Content Acquisition/Publishing teams
• Solve mission-critical business problems with appropriate statistical rigor
• Support a variety of stakeholders from Machine Learning and Discovery engineering to our publisher relations and contracting team
• Deliver high-impact, highly visible presentations around the Product Insight's strategy, processes, metrics, and KPIs to senior and executive level management
• Demonstrate grit and break down complex problems into actionable development plans
• Recruit, hire, and retain world-class analytics and data science insights staff