Director of Data Analytics and Strategy

Best Version Media

$120K — $150K *
Media
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data analytics, BI, or strategy with 2+ years managing teams.
  • Bachelor's degree or equivalent experience required.
  • Strong grasp of revenue drivers and customer metrics.
  • Hands-on experience with KPI frameworks and forecasting models.
  • Proficient with modern data environments and BI tools.
  • Ability to partner with executive leadership on strategic initiatives.

Responsibilities

  • Develop and oversee the company's data analytics strategy and tech ecosystem.
  • Translate complex data into actionable insights and executive scorecards.
  • Create predictive models for market evaluation and business planning.
  • Work with cross-functional teams to define metrics and drive revenue growth.
  • Establish frameworks for attribution models and performance evaluations.
  • Lead and develop a high-performing analytics team that emphasizes data-driven decision-making.

Benefits

  • Dynamic work environment focused on growth and analytical innovation.
  • Opportunity to influence strategic decisions at the executive level.
  • Autonomy to implement data governance and technology improvements.
  • Access to modern data tools and technology infrastructure.
Full Job Description
Job Summary:

Are you a strategic leader who sees beyond dashboards and reports to the real business growth hidden within data?

We are seeking a Director of Data Analytics and Strategy to own our enterprise analytics ecosystem, performance insights, forecasting models, and data-driven decision systems. In this high-impact leadership role, your success won't be measured by the number of charts you produce, but by the clarity of the decisions you enable, the speed of action you catalyze, and the measurable improvement you bring to revenue, retention, and publication health across North America.

If you thrive at the intersection of deep analytical rigor, commercial judgment, and operational leadership, we want to hear from you.

Responsibilities:
  • Build and lead BVM's overarching data strategy, governance, and tech ecosystem-ensuring data platforms, reporting tools, and integrations are trusted, accurate, scalable, and consistently defined.
  • Uncover core drivers of revenue, growth, retention, and publication health, translating complex data into actionable strategies, executive scorecards, and real-time decision support.
  • Build predictive models to evaluate market density, customer behavior, and expansion opportunities across thousands of local communities, optimizing long-term business planning.
  • Collaborate directly with Sales, Marketing, Operations, Finance, and Product leadership to define key metrics, eliminate performance gaps, and drive revenue growth.
  • Establish attribution models, consistent KPIs, and a disciplined test-and-learn program to rigorously evaluate strategic initiatives, sales campaigns, and operational changes.
  • Build, mentor, and direct a high-performing analytics team while cultivating an organizational culture that uses data to clarify priorities, challenge assumptions, and sharpen execution.


Requirements

Skills & Requirements:
  • Experience & Leadership: 10+ years of progressive experience in data analytics, business intelligence, strategy, or technical leadership, including 2+ years directly managing analytics, BI, or data science teams.
  • Education: Bachelor's degree or equivalent practical experience.
  • Strategic & Commercial Acumen: Deep understanding of revenue drivers, customer acquisition, retention, sales productivity, and unit economics, with a proven ability to turn complex datasets into executive-level recommendations.
  • Technical & Analytical Depth: Hands-on experience constructing enterprise KPI frameworks, executive dashboards, forecasting models, and performance management workflows using modern data infrastructure and BI platforms.
  • Tool & System Expertise: Proficiency in modern data environments, BI platforms, CRMs, ATS platforms, marketing automation tools, and project management applications (such as Monday.com).
  • Cross-Functional & Executive Influence: Demonstrated ability to partner with C-suite and senior leadership to shape enterprise strategy, guide decision-making, and instill operational discipline.


What Will Make You Stand Out:
  • Advanced Education: Master's degree in Statistics, Economics, Finance, Data Science, or a related quantitative field.
  • Targeted Industry Background: Prior experience in media, publishing, advertising, local-market operations, multi-location enterprise models, franchise platforms, or marketplace business models.
  • Print & Digital Product Depth: Direct experience managing analytics environments that span both print and digital products, including ad revenue metrics, campaign performance, audience engagement, and local market economics.
  • Advanced Analytics Expertise: Practical mastery in predictive modeling, customer segmentation, attribution modeling, experimental testing frameworks, and market opportunity mapping.
  • Infrastructure Modernization: Track record of scaling analytics operating models, modernizing data pipelines/infrastructure, and launching self-service reporting in fast-paced, growth-oriented companies.

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