Chief Analytics Officer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Chief Analytics Officer (Fintech): Leading the Data Department to elevate the analytical platform for a Telegram-embedded digital asset solution with an accent on DWH architecture, AI integration, and marketing automation. Focus on scaling data engineering and analytics units, implementing AI-driven optimization, and establishing high standards for data governance.
Location: Remote setup with access to hubs in Dubai, Yerevan, London, and Belgrade
Company
develops Wallet in Telegram, a digital asset solution natively embedded into the Telegram interface with over 100M user accounts.
What you will do
- Lead and scale the Data Engineering and Analytics units, including the financial analytics team.
- Oversee the architectural development, scaling, and maintenance of the company's DWH using ClickHouse, Airflow, and dbt.
- Implement AI-driven solutions to optimize DE pipelines and automate analytical processes within the crypto domain.
- Build end-to-end analytics and automate attribution, segmentation, and data-driven marketing campaign optimization.
- Expand the reporting ecosystem using Apache Superset and establish high standards for Data Governance.
Requirements
- Proven track record of building and managing robust DWH architectures.
- Experience leading cross-functional teams consisting of engineers and analysts.
- Deep technical expertise in ClickHouse, dbt, and modern data engineering practices.
- Proficiency in MarTech and experience in automating analytics to drive business growth.
- Forward-thinking mindset with a practical interest in applying AI/LLMs to operational workflows.
- Experience in or a strong passion for the Crypto/FinTech industry.
Culture & Benefits
- Fast-growing business with non-bureaucratic, results-oriented management.
- Remote work flexibility with access to global hubs.
- Comprehensive health support via compensation for medical expenses.
- Provision of necessary professional equipment and access to advanced AI models.
- Generous time-off policy: 20 days paid vacation, 11 days off, and 14 days paid sick leave annually.
- Access to internal conferences, English language courses, and corporate events.
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