Nhà phân tích dữ liệu 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.