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 Requirements What We're Looking For • Significant leadership experience in analytics, BI, or data functions within high-growth digital businesses • Proven track record transforming analytics toward scalable, self-serve, AI-enabled models • Strong technical grounding in modern data stacks, cloud warehouses (we use BigQuery), BI tooling, and semantic modeling • Hands-on SQL fluency and solid understanding of analytics engineering principles • Experience leading or reshaping embedded analyst teams • Practical, hands-on experience applying AI in analytics at scale • Experience building or rebuilding a data science function spanning business support and product features What we offer… • Fully remote work • A chance to shape the future of AI-driven education. • A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. • Bonuses and stock options – we grow together Originally posted on Himalayas