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Chief Analytics Officer

Remote (hubs in Dubai, Yerevan, London and Belgrade)Full-timeGlobal

📊 Executive🏠 Remote

RemoteRemote work position available

Job Description

[AI-summarized by JobStash]

You will lead and scale the Data Engineering and Analytics teams, including financial analytics. You will design, build, and maintain the data warehouse architecture, select and implement AI/LLM-driven solutions to optimize data pipelines, and automate analytical processes. You will create end-to-end marketing analytics including attribution and segmentation, expand reporting using Apache Superset, and establish strong data governance and visualization practices. You will evaluate and choose AI/ML tools and define technical approaches for data engineering and analytics.

Requirements

●Proven track record of building and managing robust data warehouse architectures
●Experience leading cross-functional teams of engineers and analysts
●Deep understanding of ClickHouse, dbt, and modern data engineering practices
●Understanding of marketing technology and experience automating analytics for growth
●Practical interest and vision for applying AI and LLMs to analytical and operational workflows
●Experience in or strong passion for the Crypto/FinTech industry

Responsibilities

●Lead and scale the Data Engineering and Analytics units including financial analytics
●Oversee data warehouse architecture, scaling, and maintenance
●Implement AI-driven solutions to optimize data engineering pipelines and automate analytics
●Build end-to-end marketing analytics and automate attribution and segmentation
●Expand reporting ecosystem using Apache Superset
●Establish and maintain high standards for data governance

Benefits & Perks

●Remote setup with access to hubs in Dubai, Yerevan, London and Belgrade
●Compensation for medical expenses
●Provision of necessary equipment
●Access to advanced AI models via mira.tg
●20 working days of paid vacation annually
●11 days off per year
●14 days of paid sick leave
●Access to internal conferences, English courses and corporate events
●Regular performance reviews

Tech Stack

marketing automationattributionAirflowAIdata engineeringClickHousedata governancesegmentationSupersetdata visualizationproject:The Open Platform