Head of Data Analytics

CompanyBelow covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.Photobucket is entering a critical phase of product and growth evolution.We have established a strong product development lifecycle, a clear product vision, and a roadmap supported by a new product currently in market. The foundation is in place. The next phase is about optimizing engagement, accelerating product-led growth, improving retention, and deeply understanding the behavioral drivers behind user adoption and monetization.Photobucket's vision is: To redefine digital connection by creating private spaces where real relationships, shared experiences, and authentic communities thrive - anytime, anywhere.We are building what will become the private, mobile-first platform for group-based photo and video sharing - serving families, sports teams, and social groups.As we continue transitioning toward a product-led organization, data and analytics has become a core strategic function across Product, Growth, Marketing, Retention, and Executive Leadership.This role exists to:Turn data into actionable business intelligenceIdentify growth levers and retention driversBuild a deeper understanding of user behavior and product-market fitEnable faster, smarter, and more measurable decision-making across the companyThe opportunity is significant:70M+ legacy user accounts available for reactivationFreemium model as the core growth engineLarge-scale behavioral and engagement data being generated dailyThis role will play a critical role in helping Photobucket become a truly data-driven, product-led business.Role in the OrganizationPosition: Head of Data & AnalyticsReporting: Reports directly to the CFO with close partnership with Product, Growth, Marketing, and FinanceScope: Owns the company-wide data, analytics, product intelligence, and growth insights functionThis role is not designed to be a passive reporting or dashboarding function.The Head of Data & Analytics:Proactively identifies insights, opportunities, and risksOperates as a strategic growth partner across the organizationHelps leadership understand what is happening in the business and whyBuilds the analytical foundation for product-led growth and retention optimizationCore ResponsibilitiesThe Head of Data & Analytics will be accountable for:Driving Product & Growth IntelligenceDevelop a deep understanding of user behavior across the product ecosystemIdentify key activation, engagement, retention, and monetization driversHelp establish product as the primary growth engineBuilding a Product-Led Analytics FunctionCreate scalable reporting and analytics frameworks across Product, Growth, and MarketingDevelop KPI frameworks tied to company-wide objectivesBuild visibility into behavioral funnels, cohort performance, and user lifecycle metricsIdentifying Growth & Retention OpportunitiesProactively surface insights and recommendations to leadershipIdentify growth levers that improve:WAU/MAUActivationFreemium conversionRetentionInvite loops and viralitySupporting Product-Market Fit DiscoveryAnalyze user behavior across core personasHelp the organization understand where engagement is strongest and where friction existsDeveloping Executive & Board-Level ReportingBuild and maintain executive dashboards and KPI visibilitySupport monthly and quarterly Board reportingTranslate complex data into clear business narratives and actionable recommendationsEstablishing a Data-Driven CultureHelp evolve Photobucket into a truly data-informed and product-led organizationCreate consistency around metrics, reporting, and business intelligencePartner cross-functionally to improve decision-making velocity and accountabilityWhat you will bring to PhotobucketRequired10+ years of experience in analytics, product analytics, marketing analytics, or business intelligenceB2C SaaS product analytics experienceProduct-led growth experienceTechnical Fluency: Strong SQL skills and comfort working with large, complex datasets. Fluency with BI tools (Amazon Quick, Tableau, Power BI, or similar) and modern data stacks (Snowflake, AWS database tools, or similar)Familiarity with AWS data pipelines (Glue, Kinesis, S3-based data lakes)Proficiency in Python or R for statistical modeling and analysisStrong foundation in A/B testing, statistical significance, and cohort analysisAbility to build and maintain analytical data models independentlyFluency with AI-assisted analytics and LLM-based insight discoveryStrong executive communication, ability to translate Ability to translate complex data into clear executive narratives and business recommendationsPreferred:Experience in:Consumer engagement platformsFreemium business modelsSocial, media, or network-effect productsDeep understanding of:Behavioral analyticsRetention analysisFunnel optimizationCohort analysisProduct experimentationCompensationWe are committed to hiring a top-tier analytics and growth intelligence contributor and will compensate accordingly. xhyhwjd Base Salary: Competitive Colorado base pay range: $120,000 - $180,000Bonus: Performance-based annual incentiveCompetitive benefits including 5% 401k matchWork LocationLocation: Fully remote. Preference for existing geographic locations including: Colorado (Denver and Boulder), Nevada, Wisconsin, and Illinois.. Photobucket