Bvm Jobs in Wisconsin (NOW HIRING)

Description

Best Version Media was founded in 2007 and now serves over 1,300 communities across the U.S. and Canada. We connect local businesses to customers with a suite of innovative print and digital solutions. Our print magazines, powered by our advertisers and readers, are tailored to the communities we serve by showcasing local families, nonprofits, events, and more. Our digital advertising works with our print campaigns to build brand awareness and help businesses expand their online reach with local customers. We also offer convenient tools to help businesses manage their online presence and enhance searchability.

Our vision is to unite the hearts and minds of communities – one person, one home, one business at a time. We value family, teamwork, and an open exchange of ideas as we strive to become the best versions of ourselves. Our award-winning culture has been recognized countless times by organizations like Fortune, Glassdoor, Great Place to Work, and more.

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.

• 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

• 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.

• 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.