# Head of Data and Analytics (Remote) - Novakid School

Tbilisi, Georgia · Added yesterday

Remote

Director

[Apply on the original posting → (opens in a new tab)](https://novakidschool.recruitee.com/o/head-of-data-and-analytics-remote)

## Job description

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

**Live in the employer’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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