Аналитик данных at Merkle Science

The core requirements for this Data Analyst Intern position at Merkle Science center on technical data skills, domain knowledge in cryptocurrency and blockchain, and a strong emphasis on accuracy and analytical capabilities.

• Competency in using SQL-based databases like MySQL/BigQuery and advanced Excel for data manipulation.
• Ability to perform data collection, tagging, and quality assurance across various sources including in-house, open-source, OSINT, and third-party platforms.
• Proficiency in simulating user behavior for behavioral analysis to support dataset standardization.
• Strong interest and knowledge in cryptocurrency risks, typologies, and the latest blockchain trends to ensure relevance in data operations.

Merkle Science, a prominent player in cybersecurity and data intelligence with a focus on blockchain and cryptocurrency analytics, likely seeks candidates who can contribute to monitoring and mitigating digital risks through hands-on data operations. Their intent is to recruit individuals who are not only technically skilled but also passionate about emerging tech, aiming to build a talent pool adept in fast-evolving industries, potentially for long-term roles in data-driven security solutions. This internship underscores a need for adaptability, as the company operates in a dynamic field where staying current with trends is crucial for client services and innovation.

As an interviewer at Merkle Science, I would prioritize candidates demonstrating strong technical aptitude, particularly in data tools like MySQL/BigQuery and Excel, along with meticulous attention to detail for tasks like data tagging. I'd assess their ability to simulate user behavior and stay updated on crypto trends through scenario-based questions or case studies. Key areas to test include problem-solving skills in data analysis, adaptability to blockchain concepts, and evidence of eagerness to learn, as these align with our company's focus on innovation in cybersecurity.