Key Facts

Remote From:

Full time

English

Hard Skills

A/B Testing Data Science Analytics Advanced Analytics Anomaly Detection Operational Intelligence Controlled Experiments Instructional Design Business Intelligence Tools Stakeholder Communications +12 more

Other Skills

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Team Leadership
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Governance
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Forecasting
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People Management
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Communication
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Strategic Thinking
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Mentorship
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Prioritization

Roles & Responsibilities

Proven track record leading a data and analytics organization, owning analytics strategy, operating model, data governance, and data culture at scale
Experience building and scaling AI-powered analytics capabilities—data access, AI-assisted insights, anomaly detection, and automated reporting—across product, growth, and operations
Strong data science and machine learning expertise applied to business use cases, including forecasting, experimentation support, AI-powered product features, and research for new learning experiences
Ability to drive a data-driven culture with cross-functional stakeholders and establish clear KPI ownership, documentation, and a trusted semantic layer across Product, Growth, Sales, Marketing, and Finance

Requirements:

Define analytics strategy and operating model to support growth, product development, commercial performance, and operations; establish self-serve, AI-assisted, automated, and expert-led analytics
Lead and develop a cross-functional analytics team embedded across product squads and business functions; elevate speed, impact, and self-service while prioritizing high-value work
Scale AI-powered analytics by implementing practical use cases such as natural-language data access, AI-assisted insight generation, anomaly detection, automated reporting, and productivity tooling for analysts and stakeholders
Build a structured data science capability spanning ML for business use cases, forecasting, experimentation support, AI-powered product features, and research for new learning experiences

Novakid

Edtech: Education + Technology

About Novakid

Novakid is a Series B EdTech startup ($41,5M raise) with double-digit revenue growth in 2023. This online English as a Second Language learning platform for children aged 4 to 12 has delivered over 15 million English lessons for kids since inception in 2017. This award-winning online English school offers one-to-one and group lessons with qualified and experienced teachers. Kids learn efficiently through full language immersion and fun games and activities, mastering English for academic and career success. The ability to master the English language from an early age is important for a child's future academic and career goals. Novakid complements school learning by giving kids a safe place for real-life English speaking practice, and the methodology is based on learning games - representing the new generation of online learning. Novakid has been recognised by a number of organisations across the world. In 2023, Novakid was included on the 2023 Inc 5000 list - position 105 of 5000, and is 1st in the Education category. In the same year, Novakid won the Best Digital Language Learning Product of the Year Award in the Digital Education Awards; was recognised as a finalist in the 2023 EdTech Digest Awards in the category of Best Language Learning Solution and Novakid was nominated as a finalist in the ‘Early Years’ category of the EdtechX Awards 2023. In 2022, Novakid was selected as the winner of the “Overall Language Learning Company of the Year” in the 2022 EdTech Breakthrough Awards. Novakid’s mission is to build a global community of young English learners designed to encourage deep and meaningful friendships across different cultures. Vacancies: https://hr.novakidschool.com/

Company type: Scaleup

Industry: Edtech: Education + Technology

Founded: 2018

Company size: 201 - 500

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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