Head of Business Analytics

Libsyn is an industry-leading podcast hosting and advertising platform dedicated to empowering creators. They are seeking a Head of Business Analytics to own and enhance business analytics and performance insights, guiding executive and operational decision-making through accurate and actionable data.

Responsibilities:

• Own Libsyn’s KPI framework end to end—metric definitions, documentation, governance, and ongoing evolution
• Establish and maintain a single source of truth for metrics, including a KPI dictionary and clear logic for how KPIs are calculated
• Build, maintain, and continuously improve executive-level and team-level KPI reporting and dashboards that support operating rhythms (monthly/quarterly)
• Serve as the trusted authority on company metrics, providing clear analysis, insights, and recommendations to leadership
• Translate complex data into clear, actionable insights that inform product, business, and operational decisions
• Partner closely with Product Managers to define measurement plans for new features and initiatives, including success metrics, baselines, targets and guardrails
• Lead experimentation and analysis standards (A/B testing, incremental lift, cohort analysis, retention/funnel analysis) and ensure results are interpreted correctly
• Own recurring performance deep-dives on key business drivers: acquisition, activation, engagement, retention, revenue, churn, and unit economics
• Proactively identify trends, risks, and opportunities by building KPI monitoring and anomaly alerting
• Establish standards and best practices for metric creation, reporting, and usage across teams
• Enable self-serve analytics by creating repeatable reporting patterns, templates, and “how-to” guidance that scale across teams
• Teach and enable leaders and teams to better understand and use metrics, raising overall data literacy across the organization
• Collaborate cross-functionally with Product, Finance, Sales, and Business Development to ensure alignment and consistency in how success is measured
• Partner with Data/Engineering on data quality and instrumentation to ensure event tracking and pipelines support reliable measurement

Requirements:

• 7+ years of experience in business intelligence, analytics, data analysis, product analytics, or a related field
• Proven experience owning company-level KPIs and reporting in a SaaS or technology-driven environment
• Strong analytical and problem-solving skills with the ability to synthesize data into executive-ready insights
• Ability to tell clear, grounded stories with data, translating complexity into insight that busy leaders can act on
• Experience partnering closely with Product teams on product discovery, experimentations, and roadmap prioritization
• Strong product analytics capability, including funnel analysis, cohort analysis, retention/churn analysis, segmentation, and experimentation
• Expert-level SQL skills and the ability to work with complex or messy datasets to produce accurate, trusted outputs
• Experience building dashboards and reporting systems in modern BI tools (e.g., Tableau, Looker, Power BI) with an emphasis on maintainability and clarity
• Strong communication skills with the ability to teach, explain, and guide others around metrics and data usage
• Comfort operating as a senior individual contributor with broad ownership and influence and no direct reports
• Strong judgment around measurement integrity—knowing what to measure, what not to measure, and how to avoid misleading conclusions
• Track record of improving metric consistency and adoption across an organization through standards, templates, training, and enablement
• Experience with subscription and recurring revenue metrics (MRR/ARR, GRR/NRR, CAC/LTV) and unit economics
• Experience supporting pricing, packaging, and forecasting decisions with analysis
• Familiarity with event instrumentation and product analytics tooling (e.g., Amplitude, Mixpanel) and data modeling concepts