Note: The job is a remote job and is open to candidates in USA. Photobucket is transitioning into a product-led organization focused on improving engagement, growth, retention, and monetization for its private photo and video-sharing platform. The Head of Data Analytics will own the company-wide data and analytics function, using product intelligence and business insights to identify growth opportunities, support product-market fit discovery, and enable data-driven decision-making. The role reports to the CFO and partners closely with Product, Growth, Marketing, and Finance.
Responsibilities
- 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
- 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
- Proactively surface insights and recommendations to leadership
- Identify growth levers that improve:
- WAU/MAU
- Activation
- Freemium conversion
- Retention
- Invite loops and virality
- Analyze user behavior across core personas
- Help the organization understand where engagement is strongest and where friction exists
- Build and maintain executive dashboards and KPI visibility
- Support monthly and quarterly Board reporting
- Translate complex data into clear business narratives and actionable recommendations
- 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
Skills
- 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 complex data into clear executive narratives and business recommendations
- Experience in consumer engagement platforms
- Experience in freemium business models
- Experience in social, media, or network-effect products
- Deep understanding of behavioral analytics
- Deep understanding of retention analysis
- Deep understanding of funnel optimization
- Deep understanding of cohort analysis
- Deep understanding of product experimentation
Benefits
- Performance-based annual incentive
- Competitive benefits including 5% 401k match
- Fully remote
Company Overview