Director of Data and Analytics, Later

• 8+ years of progressive experience in data analytics, business intelligence, or a related quantitative field
• 3+ years managing analytics teams, with a track record of developing high-performing analysts
• Proven ability to own and execute an analytics roadmap across multiple business domains simultaneously
• Deep SQL expertise and proficiency with modern BI tools (Domo, Mode)
• Experience with a cloud data warehouse (BigQuery) and data modeling patterns
• Experience building predictive models, forecasting tools, or data science–adjacent products (Python/R a plus)
• Strong financial acumen—comfortable with MRR/ARR modeling, revenue attribution, and LTV/CAC analysis
• Exceptional stakeholder management across executive, technical, and operational audiences
• Experience in marketplace, creator economy, or influencer marketing is highly valued
• A bias for action and comfort with ambiguity in a fast-paced, evolving environment
• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity

Desirable

• 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
• 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
• 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
• 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
• 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: set direction and remove blockers while personally contributing to high-impact analyses and data products
• Run sprint planning, resource allocation, and capacity planning across concurrent workstreams
• Build career development frameworks and onboarding programs for new analysts
• Own the hiring roadmap to scale the team in line with business growth