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Part Time Crypto Research Analyst Jobs (NOW HIRING)

... research, talent and recruiting, as well as marketing - which includes an editorial content ... This is a part-time, remote internship. The Role * This is primarily a multimedia and social media ...

Research Specialists

Salt Lake City, UT ยท On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Collect and analyze data, and test, validate, and document results. Summarize research findings to ...

Research Specialists

Salt Lake City, UT ยท On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Conduct exploratory data analysis and prepare visualizations and summary reports for research ...

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Conduct exploratory data analysis and prepare visualizations and summary reports for research ...

Research Specialists

Campus, IL ยท On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Conduct exploratory data analysis and prepare visualizations and summary reports for research ...

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Part Time Crypto Research Analyst information

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$38.5K

$74K

$99.5K

How much do part time crypto research analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for part time crypto research analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Crypto Research Analyst vs Part Time Blockchain Data Analyst?

AspectPart Time Crypto Research AnalystPart Time Blockchain Data Analyst
Required CredentialsCrypto certifications, finance or economics backgroundData analysis, blockchain technology knowledge
Work EnvironmentFinancial firms, crypto startups, research agenciesBlockchain companies, data analytics firms
Industry UsageCrypto markets, investment researchBlockchain project analysis, data interpretation
Search & Comparison IntentUnderstanding crypto research rolesAnalyzing blockchain data roles

Both roles involve analyzing blockchain and cryptocurrency data but differ in focus. The Crypto Research Analyst emphasizes market research and investment insights, while the Blockchain Data Analyst concentrates on technical data analysis within blockchain platforms. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

What are the typical responsibilities and expectations for a part-time Crypto Research Analyst, and how is workload usually managed?

As a part-time Crypto Research Analyst, your main responsibilities include monitoring market trends, analyzing blockchain projects, and preparing concise reports or presentations on your findings. Workload is often project-based or follows a set schedule, with clear deliverables and deadlines communicated by your team lead or manager. Collaboration with other analysts and researchers is common, often through virtual meetings or shared documents. Since the crypto space evolves rapidly, staying up to date with industry news and new technologies is a regular part of the role. Flexibility and strong time-management skills are essential to balance research depth with part-time hours.

What does a Part Time Crypto Research Analyst do?

A Part Time Crypto Research Analyst is responsible for researching and analyzing trends, technologies, and projects within the cryptocurrency and blockchain industry. They evaluate market data, project fundamentals, and emerging developments to provide insights and recommendations, often supporting investment decisions or content creation. Working part-time, they may focus on specific sectors or cryptocurrencies and are expected to stay updated on fast-moving industry news and regulatory changes.

What are the key skills and qualifications needed to thrive as a Part Time Crypto Research Analyst, and why are they important?

To thrive as a Part Time Crypto Research Analyst, you need strong analytical skills, a foundation in finance or economics, and up-to-date knowledge of blockchain technology and cryptocurrency markets. Familiarity with data analytics tools, blockchain explorers, and platforms like CoinMarketCap or Glassnode is typically required. Excellent written communication, critical thinking, and adaptability help you synthesize findings and respond to fast-paced market changes. These skills are crucial for delivering actionable insights and maintaining a competitive edge in the rapidly evolving crypto industry.
More about Part Time Crypto Research Analyst jobs
What are the most commonly searched types of Crypto Research Analyst jobs? The most popular types of Crypto Research Analyst jobs are:
Quantitative Research Analyst Internship

Quantitative Research Analyst Internship

Stevens Capital Management LP

Radnor, PA โ€ข On-site

Full-time, Part-time, Internship

Posted 15 days ago


Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities:
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements:
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.