Research Protocol Analyst

You will 🚀

• Analyze data and interpret results using statistical techniques, providing ongoing reports.
• Acquire data from primary or secondary sources and visualize it effectively.
• Conduct hypothesis testing to validate assumptions and support decision-making.
• Identify and interpret trends or patterns in complex data sets.
• Filter and clean data by reviewing reports, printouts, and performance indicators to locate and correct issues.
• Collaborate with management to prioritize business and information needs.
• Identify and define opportunities for process improvements.
• Explore the blockchain ecosystem to uncover potential opportunities and risks.
• Enhance the economic efficiency of validation processes through research, modeling, and process improvements.
• Configure data platform tools for data loading, processing, and transformation.
• Define data requirements for the engineering team, focusing on granularity, frequency, and quality.
• Manage your team’s data marts and establish data lineage from sources to reporting.
• Develop informative dashboards for the team, company, and community.
• Contribute to company-level reporting and communication with partners and projects.

You have 🤓

• Proficient in SQL (preferably PL/pgSQL).
• Proficiency in at least one programming language: JavaScript, Python, Golang, or Rust.
• Deep knowledge of cryptocurrency, blockchain technology, and Ethereum mechanics.
• Proficiency in smart contracts, prediction models, and blockchain RPCs.
• Ability to create game-theoretical models and work with machine learning.
• Research-oriented mindset, distinct from typical data analyst roles.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Skilled in data storytelling and presenting insights effectively.
• Fluency in English.

Will be a plus

• At least 3 years of relevant experience in product companies.
• Familiarity with analytics and visualization tools (e.g., Redash).
• Experience with GraphQL.
• Advanced SQL skills, including joins and window expressions (Google BigQuery preferred).
• Proficiency in Python for analytics.
• Knowledge of ETL tools such as Airflow and DBT.
• Familiarity with HTML, CSS, JavaScript, and other web technologies.

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