Summary

You will 🚀

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

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
2. Strong managerial skills, and experience in managing a team of 5+ people.
3. Strong knowledge of data engineering architecture, data modeling, data governance, and big data technologies.
4. Proficiency in advanced SQL, including different joins and window expressions (utilizing Google BigQuery).
5. Competence with the analytical Python stack or other programming languages.
6. Experience working with ETL instruments such as Airflow and dbt.
7. Advanced knowledge of visualization tools (e.g., Tableau, Superset, Looker).
8. Strong leadership, communication, and stakeholder management skills.
9. Ability to translate complex data insights into business strategies.
10. Data research skills, probability theory, and mathematical statistics. Ability to operate in such models as regressions, and ab-tests.
11. Data storytelling skills. Ability to form your opinion and prove it with data beyond a reasonable doubt.
12. English level B2+
13. Knowledge in cryptocurrencies and blockchain technology is considered a plus!

Skills

• Analytical Thinking
• Cryptocurrency
• Database Management
• Development
• Python
• Software Engineering
• SQL