Head of Data and Analytics (Remote)

At Novakid, we’re building one of the world’s most engaging online English-learning platforms for kids. Today, we serve 100,000+ students and work with 4,000 + teachers across 15+ countries. We’ve already proven the demand.

Now we’re scaling the platform, expanding AI-driven learning experiences, and rethinking how our backend should evolve for the next stage of growth. This is where you come in. About the Role Novakid is hiring a Head of Data & Analytics to lead the next stage of our analytics evolution — transforming a strong existing foundation into a modern, AI-enabled decision system that scales with the business.

This is a strategic leadership role with broad scope: you'll own the analytics organization, the technology transformation, data science, and the data culture across the company. You won't be starting from scratch — you'll be accelerating a transformation already underway. What You'll Lead Analytics Strategy & Operating Model Define how data and analytics supports growth, product development, commercial performance, and operations.

Shape what is self-serve, AI-assisted, automated, and expert-led. Analytics Team Leadership Lead a team of analysts embedded across product squads and business functions. Raise the bar on speed, strategic impact, and self-service enablement while keeping analysts focused on the highest-value work.

AI-Powered Analytics Scale practical AI use cases: natural-language data access, AI-assisted insight generation, anomaly detection, automated reporting, and productivity tooling for analysts and stakeholders. Experimentation & A/B Testing Strengthen Novakid's experimentation culture — making it faster and easier to design, launch, measure, and learn from experiments without heavy analyst involvement at every step.

Data Science Build a structured, high-impact data science capability spanning ML for business use cases, forecasting, experimentation support, AI-powered product features, and research for new learning experiences. Metric Governance & Data Foundation Drive clearer KPI ownership, stronger documentation, and a trusted semantic layer across Product, Growth, Sales, Marketing, and Finance — reducing ambiguity and conflicting interpretations.

What Success Looks Like Faster turnaround on common business questions and broader stakeholder self-service A modern AI-enabled analytics capability adopted across the company A stronger experimentation practice with less dependency on analyst bandwidth Clear KPI ownership and trusted, well-documented data A well-structured data science function supporting both business and product innovation Strong executive confidence in data-driven decision-making