Jobs · Information Technology · Massachusetts

Director, Data and Analytics

Later · Boston, MA · 3 mo ago
HybridInformation Technology$200k–$225k/yrFull-time

About the role

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.

Responsibilities

  • 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 feature adoption

    • 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: 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

Requirements

  • 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

Qualifications

  • Experience with influencer marketing platforms, creator commerce, or affiliate/performance marketing analytics is highly valued

  • Familiarity with CRM/GTM tools (Salesforce, HubSpot) and product analytics platforms (Amplitude, Mixpanel) is a plus

  • Background in data governance, semantic layers, or enterprise data dictionary development is a plus

  • Experience with AI/ML–powered analytics products (campaign prediction, scoring algorithms, churn models) is a plus

  • Experience with BI platform migrations or consolidation projects is a plus

Skills

  • Strategic & Customer-Centric: Anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights

  • Curious & Growth-Oriented: Seek knowledge, ask sharp questions, and apply learnings fast—challenge the status quo with a mindset of improvement

  • Collaborative & Resilient: Thrive in change by staying resourceful, solution-focused, and positive—remove roadblocks, share insights, and keep morale high

  • Accountable & Honest: Own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth

  • Emotionally Intelligent: Build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity

Benefits

Our approach to compensation is market-based and data-driven. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Pay

$200,000 - $225,000 USD

Schedule

Full-time

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