How can you become a skilled blockchain analyst?

2 Blockchain data sources

As a blockchain analyst, you need to know where and how to access and collect the data that you want to analyze. Depending on your goals and objectives, you may need to use different data sources, such as blockchain explorers, APIs, web scrapers, or databases. Blockchain explorers are websites that allow you to view and search the transactions and blocks of a specific blockchain network, such as Bitcoin or Ethereum. APIs are interfaces that enable you to interact with blockchain nodes and applications programmatically, such as retrieving data or executing functions. Web scrapers are tools that extract data from web pages, such as market prices, social media posts, or news articles. Databases are repositories that store and organize data in a structured way, such as SQL or NoSQL.

3 Blockchain data analysis

Once you have the data that you need, you need to apply various methods and techniques to analyze it and generate insights. You may need to use different tools and frameworks, such as spreadsheets, programming languages, libraries, or platforms. Spreadsheets are software applications that allow you to perform basic calculations, manipulations, and visualizations of data, such as Excel or Google Sheets. Programming languages are formal languages that allow you to write and execute code to perform complex and customized tasks, such as Python or R. Libraries are collections of code that provide specific functions and features, such as pandas or matplotlib for Python. Platforms are software applications that provide integrated and comprehensive solutions for data analysis, such as Tableau or Power BI.

4 Blockchain data visualization

One of the most important skills of a blockchain analyst is the ability to present and communicate the results and findings of your data analysis in a clear and compelling way. You need to use various tools and techniques to create and display data visualizations, such as charts, graphs, maps, or dashboards. Data visualizations help you to convey complex and abstract information in a simple and intuitive way, as well as to highlight patterns, trends, and outliers. You need to choose the appropriate type and format of visualization for your data and audience, as well as to apply design principles and best practices to enhance the readability and aesthetics of your visualizations.

5 Blockchain data ethics

Another essential skill of a blockchain analyst is the ability to adhere to and promote the ethical standards and values of data collection, analysis, and communication. You need to be aware of and respect the privacy, security, and rights of the data subjects and stakeholders, as well as to avoid and prevent any harm, bias, or manipulation of the data and insights. You need to follow the relevant laws, regulations, and guidelines that govern the use and disclosure of data, such as GDPR or CCPA. You also need to be transparent and accountable for your data sources, methods, assumptions, and limitations, as well as to acknowledge and address any errors or uncertainties.

6 Blockchain data learning

The last but not least skill of a blockchain analyst is the ability to keep learning and improving your knowledge and skills. Blockchain is a fast-evolving and dynamic technology that requires you to stay updated and informed about the latest developments, innovations, and challenges. You need to constantly seek new and relevant data sources, methods, tools, and resources that can help you to enhance your blockchain analysis capabilities. You also need to network and collaborate with other blockchain analysts and experts, as well as to participate in and contribute to the blockchain community and ecosystem.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?