Director, Data and Analytics

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com . About this position: Later seeks a dynamic Director of Data Analytics to oversee our Insights Analytics team. This leadership role involves guiding a diverse, cross-functional group of embedded analysts who support our Marketing, Sales, Client Services, Creator Success, RevOps, and Product departments.You’ll own the analytics roadmap, our BI layer, and how the company uses data to make decisions. This is a player-coach role. You’ll set the strategic vision and grow the team while staying hands-on delivering high-impact analyses alongside your reports. The time split is roughly equal across three dimensions: strategic leadership, individual contribution, and people management.This is a strategic leadership role. You'll set the vision for the Data Analytics team, drive strategic initiatives, and grow the function. While staying informed on delivery and coaching the team, the emphasis will be on long-term strategy and organizational growth. What you'll be doing: Own the Analytics Roadmap Define quarterly and annual analytics priorities, aligning to company OKRs across Later Social, Later Influence, and Mavely Balance strategic builds (predictive models, campaign forecasting, self-serve dashboards) with operational support and ad hoc stakeholder requests Drive the shift from reactive reporting to proactive, insight-driven analytics that directly influences business outcomes Own the BI Layer End-to-end ownership of the business intelligence layer, including dashboard strategy, semantic modeling, and data governance Lead BI platform consolidation and modernization, expanding self-serve analytics capabilities across the organization Build enterprise data products: forecast calculators, benchmarking tools, client-facing dashboards, and operational reports Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric standardization Partner Cross-Functionally Serve as the primary analytics partner to senior stakeholders across the business: Marketing: demand generation, paid media, ABM, attribution, and marketing ROI Sales: pipeline analytics, revenue forecasting, and CRM reporting Client Services: campaign performance, client health, utilization, and enterprise account analytics Creator Success: creator scoring, GMV attribution, account management dashboards, and creator-facing reports RevOps Finance: MRR/ARR modeling, churn analysis, pricing analytics, and operational reporting Product Engineering: product analytics strategy, data infrastructure, and featureadoption Translate complex data insights into clear, actionable recommendations for executive audiences Manage a structured service desk intake process for analytics requests with business priority scoring Lead the Team Manage and grow a cross-functional team of analysts across marketing analytics, client/creator analytics, commerce analytics, data science, and BI engineering Operate as a player-coach: se ... (truncated, view full listing at source)