Head of Data Analytics

Company 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 intelligence Identify growth levers and retention drivers Build a deeper understanding of user behavior and product-market fit Enable faster, smarter, and more measurable decision-making across the company The opportunity is significant: 70M+ legacy user accounts available for reactivation Freemium model as the core growth engine Large-scale behavioral and engagement data being generated daily This role will play a critical role in helping Photobucket become a truly data-driven, product-led business. Role in the Organization Position: Head of Data & Analytics Reporting: Reports directly to the CFO with close partnership with Product, Growth, Marketing, and Finance Scope: Owns the company-wide data, analytics, product intelligence, and growth insights function This role is not designed to be a passive reporting or dashboarding function. The Head of Data & Analytics: Proactively identifies insights, opportunities, and risks Operates as a strategic growth partner across the organization Helps leadership understand what is happening in the business and why Builds the analytical foundation for product-led growth and retention optimization Core Responsibilities The Head of Data & Analytics will be accountable for: 1. Driving Product & Growth Intelligence Develop a deep understanding of user behavior across the product ecosystem Identify key activation, engagement, retention, and monetization drivers Help establish product as the primary growth engine 2. Building a Product-Led Analytics Function Create scalable reporting and analytics frameworks across Product, Growth, and Marketing Develop KPI frameworks tied to company-wide objectives Build visibility into behavioral funnels, cohort performance, and user lifecycle metrics 3. Identifying Growth & Retention Opportunities Proactively surface insights and recommendations to leadership Identify growth levers that improve: WAU/MAU Activation Freemium conversion Retention Invite loops and virality 4. Supporting Product-Market Fit Discovery Analyze user behavior across core personas Help the organization understand where engagement is strongest and where friction exists 5. Developing Executive & Board-Level Reporting Build and maintain executive dashboards and KPI visibility Support monthly and quarterly Board reporting Translate complex data into clear business narratives and actionable recommendations 6. Establishing a Data-Driven Culture Help evolve Photobucket into a truly data-informed and product-led organization Create consistency around metrics, reporting, and business intelligence Partner cross-functionally to improve decision-making velocity and accountability What you will bring to Photobucket Required 10+ years of experience in analytics, product analytics, marketing analytics, or business intelligence B2C SaaS product analytics experience Product-led growth experience Technical 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 analysis Strong foundation in A/B testing, statistical significance, and cohort analysis Ability to build and maintain analytical data models independently Fluency with AI-assisted analytics and LLM-based insight discovery Strong executive communication, ability to translate Ability to translate complex data into clear executive narratives and business recommendations Preferred: Experience in: Consumer engagement platforms Freemium business models Social, media, or network-effect products Deep understanding of: Behavioral analytics Retention analysis Funnel optimization Cohort analysis Product experimentation Compensation We are committed to hiring a top-tier analytics and growth intelligence contributor and will compensate accordingly. Base Salary: Competitive Colorado base pay range: $120,000 - $180,000 Bonus: Performance-based annual incentive Competitive benefits including 5% 401k match Work Location Location: Fully remote. Preference for existing geographic locations including: Colorado (Denver and Boulder), Nevada, Wisconsin, and Illinois..