Lead of Staking Analytics

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Requirements:

• Strong managerial skills, and experience in managing a team of 5+ people
• Strong knowledge of data engineering architecture, data modeling, data governance, and big data technologies
• Proficiency in advanced SQL, including different joins and window expressions (utilizing Google BigQuery)
• Competence with the analytical Python stack or other programming languages
• Experience working with ETL instruments such as Airflow and dbt
• Advanced knowledge of visualization tools (e.g., Tableau, Superset, Looker)
• Strong leadership, communication, and stakeholder management skills
• Ability to translate complex data insights into business strategies
• Data research skills, probability theory, and mathematical statistics. Ability to operate in such models as regressions, and ab-tests
• Data storytelling skills. Ability to form your opinion and prove it with data beyond a reasonable doubt
• English level B2+

Responsibilities:

• Lead and manage a team of data analysts
• Collaborate with key stakeholders to define key metrics, analytics priorities, and reporting frameworks
• Explore blockchain ecosystem to detect possible opportunities and risks
• Optimise economy for validation process including research, modeling, and improving business processes
• Design and develop end-to-end data solutions, from initial analysis and model development to deployment, optimizing for performance and scalability
• Provide informative dashboards to team, company, and community
• Configure data platform instruments to load, process, and transform data
• Formulate data requirements for the data engineering team. Decide on granularity, frequency, and data quality
• Provide ad-hoc support to key stakeholders