Newfold Digital

Vice President, Analytics

Newfold Digital

full-time

Posted on:

Origin:  • 🇺🇸 United States • Florida

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Job Level

Lead

Tech Stack

PythonSQLTableau

About the role

  • Oversee the development and execution of a comprehensive data strategy that drives insight into customer behavior, financial performance, marketing effectiveness, and product usage
  • Lead and grow a high-performing analytics and data science team to support strategic decision-making across the business
  • Develop and own models and dashboards to track and optimize LTV:CAC ratio, MRR, bookings, billings, churn, and GAAP revenue
  • Conduct in-depth customer segmentation to identify high-value cohorts and inform personalized marketing and retention strategies
  • Analyze price sensitivity and elasticity to optimize subscription pricing across products, customer types, and geographies
  • Partner with marketing to evaluate campaign effectiveness and improve customer acquisition targeting and ROI
  • Collaborate with product teams to understand user behavior and engagement via website analytics, conversion funnels, and feature usage data
  • Deliver insights that improve customer retention, upsell/cross-sell, and product development
  • Establish strong data governance and ensure accuracy, consistency, and accessibility of data across the organization
  • Present key findings and recommendations to executive leadership and board stakeholders

Requirements

  • Experience leveraging both internal and external data sources, such as competitive benchmarks, industry trends, and third-party customer data
  • 10+ years of experience in analytics
  • 3-5 years in a leadership role within a SaaS, subscription-based, or e-commerce-focused business model
  • Proven success in driving improvements in lifetime value, CAC, MRR, and other key SaaS financial metrics
  • Deep knowledge of customer segmentation, churn analysis, website analytics, and price elasticity modeling
  • Strong command of SQL, Python, R, Looker, Tableau, or similar BI platforms
  • Experience working closely with Finance on GAAP revenue recognition, forecasting, and growth planning
  • Exceptional communication and storytelling skills
  • Bachelor’s degree in a quantitative field (e.g., Economics, Mathematics, Statistics, Computer Science)
  • Master’s or MBA preferred