Director of Business Data Science and Analytics, Coursera

• 8+ years of industrial experience in the domains of marketing analytics and data science with 4+ years of management experience, with a proven track record of establishing a high performing analytics team and delivering results in a leadership capacity
• A strategic thinker with a keen eye for identifying growth opportunities and translating them into actionable plans. Exceptional problem-solving skills, with a strong ability to drive towards action and impact
• Excellent communication skills with the ability to convey complex technical concepts to non- technical stakeholders in a clear and concise manner
• Strong command of analytical and visualization tools including Amplitude, Looker, SQL, and Python for data analysis and modeling
• Excellent knowledge of Statistics, Experimentation, Test Design Setup, Measurement and A/B Testing
• Deep understanding of marketing analytics and operation workflows, with expertise in incrementality / ROI measurement frameworks, experimental design, audience segmentation and data pipelines to enable and automate audience creation, customer tracking, and data tagging methodologies, funnel analytics, Media Mix Modeling, Multi-Touch Attribution, marketing channel and spend optimization, channel lift studies (Meta, Google)
• Bachelor’s degree in a related field; advanced degree preferred

Desirable

• At Coursera, our Data team is helping to build the future of education through data-driven decision making and data-powered products
• We drive marketing, product and business strategy through measurement, experimentation, and causal inference
• We’re looking for a dynamic, collaborative and experienced Director to join our Data team to lead Business Data Science and Analytics, overseeing data science and analytics for the Marketing, FP&A and Sales areas and reporting to the Sr. Director of Data Science
• As a Director, Business Data Science and Analytics, this individual is expected to influence the strategies and roadmaps for business units under their purview and support the involved teams throughout the execution time
• Scale and lead an innovative data science and analytics organization that harnesses the power of data to inform marketing and sales decisions, optimize campaigns, and drive customer engagement
• Partner with stakeholders to establish metrics and goals, and develop campaign and marketing strategies, with shared responsibility for business goals and outcomes. Provide thought leadership within the marketing, finance and sales analytics community
• Leveraging data, insights, and MarTech capabilities, create audience segments, establish robust measurement strategies, and optimize ongoing campaign performance; accurately measure and evaluate marketing performance across various channels and touchpoints
• Oversee customer tracking and tagging and eventing instrumentation initiatives, ensuring accurate data collection and actionable insights for personalized customer experiences
• Increase self-service to insights capabilities via a combination of tools, dashboards, and education. Own production, development and maintenance of reports, Amplitude & Looker dashboards, data cubes and ongoing analyses to meet SLAs
• Develop and implement tools and methodology for user funnel analytics, audience segmentation, paid media efficiency measurement and channel and spend optimization (Media Mix Modeling and Multi-Touch Attribution techniques). Inform and drive build vs. buy decisions for tooling to enable marketing tracking, segmentation and optimization capabilities
• Lead the team to always push the boundaries to deliver high quality analysis and translate data into insights, strategies and actions that can help Coursera’s business growth; Grow the organization, mentor and maintain a high bar of analytical depth for the team