On-chain Data Analyst
An On-chain Data Analyst studies blockchain data, including transfers, wallets, smart contracts and DeFi protocols, and turns it into findings for risk, compliance and product teams.
What a On-chain Data Analyst does
An On-chain Data Analyst works with public blockchain data. Unlike an analyst who looks at a company's own platform data, this role tracks what happens on the network: where funds come from and go to, how wallets behave, which contracts are called, and how much liquidity moves through a protocol.
In high-risk crypto verticals, this role checks counterparties and sources of funds before they enter the product. Companies that accept or withdraw cryptocurrency must monitor links between addresses and fraud, sanctions lists and money laundering. The on-chain analyst builds these checks, investigates disputed cases and passes results to the risk and compliance team. Their findings are also used to analyze competitors, list new tokens and assess risks in partner DeFi integrations.
The role usually sits in the data team or the risk function and reports to the head of analytics or the Head of Risk Intelligence. The analyst works closely with KYC/AML specialists, product teams that need activity metrics, and researchers who prepare reports for leadership.
Responsibilities
- Track transfers and address balances on blockchains and reconstruct the flow of funds between wallets and services
- Check customer and counterparty addresses against internal and external risk databases, including fraud labels and sanctions lists
- Review incoming and outgoing transactions for compliance requests and prepare brief conclusions backed by evidence
- Analyze smart contracts and interactions with DeFi protocols: function calls, liquidity flows and anomalous transactions
- Identify patterns typical of fraud schemes: pyramids, rug pulls, and laundering through mixers and bridges
- Maintain and improve dashboards and queries on on-chain activity for product and risk teams
- Maintain address label registries and agree their format with the risk team
- Prepare analytical reviews of network trends, large transfers and protocol events for leadership
- Take part in incident investigations together with security and compliance teams
Skills
- Reading blockchain transactions and events, and understanding account models and UTXO
- Basic understanding of smart contracts and how DeFi protocols work: pools, lending, bridges, staking
- Writing SQL queries against large datasets and working with decoded events
- Building graphs of relationships between addresses and interpreting clusters
- Understanding money laundering typologies and fraud schemes in cryptocurrencies
- Communicating findings to non-technical audiences such as compliance staff, lawyers and managers
- Documenting methodology: how a conclusion was reached and which assumptions were made
- Critical thinking when working with incomplete data and labels that may be inaccurate
- Working with primary sources by verifying data across several independent services
Tools
- SQL and analytical databases (ClickHouse, BigQuery, PostgreSQL)
- Blockchain explorers for manual checks of addresses and transactions
- Specialized crypto analytics platforms (for example, Chainalysis, Elliptic, TRM Labs)
- Python for processing data exports and scripts, including work with RPC nodes
- Data visualization tools (Grafana, Metabase, Tableau or similar)
- Graph tools for analyzing relationships between addresses
- Jira or Trello for managing requests from compliance and product teams
How performance is measured
- Average time from a compliance request to a finished conclusion on an address or transaction
- Share of conclusions accepted by the risk team without re-checking
- Number of suspicious links and addresses identified and passed on for action
- Coverage of labels for the key networks and protocols the company uses
- Dashboard quality: share of requests answered by a dashboard without manual rework
- Timeliness of response to incidents and exploits affecting protocols the company works with
By vertical
Crypto
In the crypto vertical, the on-chain analyst works with the core business object: checking addresses and funds of customers of exchanges, wallets and OTC services, tracking mixing and bridges, and analyzing the DeFi protocols the company integrates or references in its product.
Levels
Specialist
At the Specialist level, the analyst examines specific addresses and transactions for compliance and risk requests, maintains existing dashboards and queries, and documents conclusions according to the established methodology. Decisions on blocking or escalation are made by senior colleagues, while the specialist is responsible for the accuracy and completeness of their conclusions.
How to get there
Most people move into on-chain analytics from adjacent analytical roles: product or BI analyst, data analyst in fintech, or an AML/compliance employee already working with crypto transactions. Proficiency in SQL and an understanding of how transaction data is structured matter more than a degree. Experience in investigations, financial operations audits or fraud case work is useful.
To get started, learn the basic blockchain model (Bitcoin and Ethereum as two different logics), practice reading transactions and events in an explorer, write several SQL queries against decoded data, and study money laundering and fraud typologies. Practicing on public cases and published investigation reports shows whether you are interested in the subject and have an analytical mindset. Separate courses and platforms are not required.
Growth comes from moving from routine queries to independent investigations and methodology. An analyst who learns to explain findings to lawyers and compliance staff, and who knows where their data may be wrong, quickly becomes a key specialist on the team. Later, roles open up with responsibility for a direction, strategy and the choice of tools.
Next steps: Senior On-chain Analyst, Lead On-chain Analyst, Blockchain Investigator, Head of Risk Intelligence, Crypto Compliance Analyst
FAQ
How is an on-chain analyst different from a regular data analyst?
A regular data analyst works with data the company has collected itself: logs, purchases and product events. An on-chain analyst works with public blockchain data, which has no familiar structure, so they must decode transactions and smart contract events themselves. It is important for them to understand how the network works and to interpret addresses without identifying their owners.
Do I need to know programming to become an on-chain analyst?
Yes, at least at the level of SQL and basic Python scripts. Most routine queries and exports have to be written by hand, and ready-made platforms do not cover every network and protocol. Deep knowledge of smart contract languages is usually not required for everyone, but understanding their logic helps a lot.
What determines an on-chain analyst's income?
Income depends on grade, region, company type and how closely the role is tied to risk and investigations. Specialists who can work with DeFi and complex money laundering schemes, and analysts with experience in regulated organizations, are usually valued more highly. Exact pay levels should be checked in current job postings and market research.
Can I become an on-chain analyst without crypto experience?
Yes, if you have a strong analytical foundation and are willing to learn blockchain. Specialists from AML, financial monitoring, audit and cybersecurity most often move into the role, since they already understand typologies and regulatory requirements. You need to quickly learn the network's terminology and practice working with explorers.
What tasks are usually the hardest in this role?
The hardest part is reaching a confident conclusion from incomplete data. Address labels can be outdated or wrong, links between wallets can be coincidental, and fraudsters deliberately obscure transaction chains. A good analyst cross-checks data from several sources and honestly states the level of confidence in their conclusion.
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