The Open Platform (TOP) is the leading technology company developing Web3 innovations inside Telegram. TOP is fueling the Telegram economy through both building and investing in foundational infrastructure and consumer-facing apps. By integrating blockchain technology, TOP is building scalable solutions designed for a billion users — accelerating the mass adoption of crypto.

TOP provides a powerful toolkit of funding, expertise, and technology resources, streamlining access to critical tools like wallets, developer resources, SDKs, APIs, and marketplaces. TOP also develops and supports leading ecosystem products including the Wallet in Telegram, Tonkeeper, STON.fi, Getgems, Tribute, and more.

We are looking for a Data Lead / Head of Analytics to build and scale the data function across our venture builder ecosystem.

This is a hybrid role combining strategic leadership and hands-on execution. You will own the data direction across multiple portfolio companies, help unify their data into a shared platform, and ensure that analytics becomes a real competitive advantage rather than a reporting function.

You will manage a strong team (7-10 people: product analysts and a data engineering team), working closely with product teams, founders, and cross-functional stakeholders.

The role requires someone who is equally comfortable defining long-term data roadmaps, improving processes and analytical culture, mentoring team members — and writing SQL queries, reviewing DAGs in Airflow, or validating dashboards when needed.

Key challenges:

Building a unified data platform across multiple portfolio companies
Establishing scalable processes and analytical standards
Supporting strategic initiatives with reliable data
Increasing the maturity and business impact of analytics

Our stack: BigQuery + Superset + Airflow, with active exploration of AI-driven analytics workflows and data agents.

This role is ideal for someone who wants to grow within a venture environment, shaping the data backbone of multiple products, while staying deeply involved in execution.

Responsibilities:

Strategic & Leadership

Define and own the overall data strategy across the venture builder and portfolio companies
Develop and prioritize data roadmaps aligned with business goals
Introduce new technologies and improve tooling (including AI-driven analytics workflows)
Mentor product analysts and manage the Data Engineering team
Develop growth plans and performance frameworks for team members

Operational & Cross-Functional

Partner with product managers, founders, and stakeholders to define analytical needs
Translate business goals into measurable metrics and data models
Ensure consistency of KPIs across portfolio companies
Support strategic projects with deep analytical involvement

Hands-on Contribution

Write and optimize SQL queries in BigQuery
Design and review data models
Build and review Airflow DAGs
Validate dashboards in Superset

Requirements:

Experience

5+ years in analytics / data roles, including leadership experience
Experience managing analysts
Background in product analytics and data infrastructure

Technical Skills

Strong SQL (BigQuery or similar DWH)
Experience with BI tools (Superset, Looker, Tableau, etc.)
Understanding of data modeling, ETL/ELT processes, and pipeline architecture
Experience with KPI frameworks and product metrics
Interest in applying AI/automation to analytics workflows is a strong plus

Leadership & Mindset

Systems thinker with strong ownership mentality
Comfortable operating in ambiguity
Able to balance strategic thinking with hands-on execution
Strong communication skills — able to translate data into business decisions

Why it is a fantastic opportunity:

Our business is growing at an exponential scale.
Non-bureaucratic management that focuses on results.
Regular performance reviews to assess your progress.
Remote setup with access to our hubs in Dubai, Yerevan, London and Belgrade.
Compensation for medical expenses.
Provision of necessary equipment.
20 working days of paid vacation annually.
11 days off per year.
14 days of paid sick leave to support your health and recovery when needed.
Access to internal conferences, English courses and corporate events.

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Head of Data Analytics

Anywhere in the world

Remote

Senior

The Open Platform