UK

United Kingdom · Finance roles · Mid-Level (2-5 years)

Blockchain Analyst

As a Blockchain Analyst, you unravel the truth behind the data that shapes financial decisions.

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Blockchain Analyst
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Digital Asset Analyst · Crypto Analyst · On-Chain Data Analyst

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Blockchain Analyst

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free
We see you

You wonder if AI will ever truly understand the nuances of blockchain data like you do. Yet, you feel a quiet thrill knowing that your expertise will always be needed to interpret the story behind the numbers.

1What this role really is

This role is all about digging into the raw, immutable data on various blockchains to find insights and risks for our finance operations. You'll be the one who can tell us what's *really* happening with a token or a protocol, not just what the marketing says. It's a bit like being a financial detective, but instead of dusty ledgers, you're sifting through millions of transactions.

2A day in the life

Not a job advert. A real day, built from what this role actually holds.

08:45
You start your day by diving into a new blockchain protocol, pulling transaction data to understand its mechanics.
11:00
You run a series of SQL queries in Dune Analytics, searching for changes in token distribution and large whale movements.
14:30
With Python and pandas, you transform raw on-chain data into meaningful insights, preparing to alert your finance team to emerging risks.
16:00
You document your findings and methodologies in Confluence, ensuring clarity and replicability for your colleagues.

3What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Dune AnalyticsIntermediate

Building basic to moderately complex SQL queries to pull on-chain data, creating custom dashboards, and interpreting existing community dashboards.

Nansen / GlassnodeIntermediate

Using pre-built dashboards to track standard metrics like Total Value Locked (TVL), active addresses, and exchange flows, and pulling data for reports.

Etherscan / BscScan / Blockchain.comIntermediate

Tracing simple transaction flows, checking wallet balances, reading basic smart contract data, and verifying token movements across various chains.

Chainalysis KYT / Elliptic NavigatorBasic

Running pre-defined checks on wallet addresses and transactions, escalating high-risk alerts based on established playbooks for compliance.

SQLIntermediate

Querying curated datasets in Dune Analytics or internal databases to extract specific on-chain metrics and transaction histories.

Python (pandas)Intermediate

Performing basic data cleaning, transformation, and analysis on CSV exports from on-chain platforms, and navigating Jupyter Notebooks.

Tableau / Power BIIntermediate

Creating standard dashboards and visualisations from pre-processed data sources to track key protocol metrics and present findings to finance teams.

Confluence / NotionIntermediate

Documenting analytical findings, methodologies, and creating reports for internal knowledge sharing and audit trails.

Slack / MS TeamsIntermediate

Communicating alerts, updates, and collaborating with immediate team members and cross-functional peers.

4What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing inWhere you are nowThe step above
Methodology for On-Chain AnalysisFollows prescribed methods; all deviations require approval.Chooses appropriate methodology for routine problems; consults Senior Analyst for novel situations.Designs and implements new methodologies; consults Director on strategic impact.
Data Source SelectionUses pre-approved data sources only.Evaluates and selects appropriate data sources from a pre-approved list; proposes new sources to Senior Analyst.Approves and integrates new data sources into the team's toolkit; manages vendor relationships.
Reporting & Communication FormatUses standard templates and formats.Adapts standard templates for specific audiences; proposes new visualisations or report structures for approval.Defines and standardises reporting formats for the team; trains others on best practices.
Escalation of Risks/IssuesEscalates all identified risks/issues immediately to supervisor.Identifies and assesses risks; escalates high-severity issues to Senior Analyst, handles low-severity issues within defined guidelines.Defines escalation protocols for the team; makes judgment calls on what constitutes a high-severity issue.
Purchase of New Tools/SoftwareNo authority.Can recommend tools up to £1K, requires Senior Analyst approval.Approves purchases up to £5K; recommends larger investments to Director.

5How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Accuracy of Transaction Tracing
The percentage of transaction traces and wallet risk assessments that are found to be correct and complete upon review.
Target · 99%+ accuracy

You trace a complex transaction flow involving three different chains and a mixer, and the Senior Analyst confirms every step and label is accurate, leading to a 100% score for that assessment.

Turnaround Time for Standard Analyses
The average time taken to complete routine requests, like a standard wallet risk assessment or a basic protocol health check.
Target · Under 60 minutes for standard wallet risk assessments; 24 hours for basic protocol reports.

A Portfolio Manager asks for a risk assessment on a new counterparty's wallet at 10:00 AM, and you deliver a comprehensive report by 10:45 AM, well within the target.

Protocols Covered & Summarised
The number of new or updated protocols for which you deliver initial summary reports or health checks.
Target · 2-3 new protocols per week

You provide initial summaries for a new Layer 2 solution, an updated DeFi lending protocol, and a novel NFT marketplace, giving the team a quick overview of their mechanics and risks.

Query Efficiency
The ability to write SQL queries that run quickly and don't hog database resources, especially on large datasets.
Target · Average query execution time under 30 seconds for routine tasks

Your Dune Analytics queries consistently return results within seconds, even when pulling data from multiple tables, showing good optimisation.

Clarity of Communication
How well you explain complex on-chain concepts and analytical findings to non-technical finance professionals.
  • Portfolio Managers consistently understand your reports and ask follow-up questions that indicate comprehension, rather than confusion. You get feedback like 'that was really clear' or 'I finally get impermanent loss thanks to your explanation'.
Proactive Issue Identification
Your ability to spot potential risks or opportunities in the data before being asked, and bringing them to the team's attention.
  • You flag an unusual spike in gas fees that turns out to be a potential exploit on a protocol we're monitoring, or you notice a large whale accumulation pattern before it hits the news. You're not just answering questions
  • you're asking them.
Mentorship & Knowledge Sharing
Your willingness and ability to informally guide new joiners or less experienced colleagues, helping them get up to speed.
  • New team members come to you with questions and report feeling supported. You share useful queries or data sources without being prompted. You might even run a quick 'lunch and learn' session on a new tool.
Adaptability to Market Changes
How quickly you adapt your analysis methods and understanding to new protocols, chains, or market events.
  • When a new Layer 2 solution gains traction, you're quickly able to analyse its data, or when a major market event happens, you can pivot your focus to explain its on-chain impact without significant delay or hand-holding.

6Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Solving Complex Puzzles

You get a real kick out of unravelling a complicated transaction flow or figuring out why a protocol's TVL suddenly dropped. It's like a daily detective challenge.

Spending an afternoon tracing funds across three different chains to identify the true owner of a suspicious wallet, and finally cracking the case.

Being at the Forefront of Innovation

You're genuinely excited by new blockchain technologies and protocols, always keen to learn how they work and what they mean for finance. You're happy to be an early adopter of new analytical tools.

Being the first on the team to understand a new Layer 2 scaling solution and explaining its implications to colleagues.

Making a Tangible Impact

You want your analysis to directly influence real-world financial decisions, whether it's avoiding a bad investment or identifying a lucrative opportunity. You like seeing your work get used.

Your analysis of a token's on-chain distribution helps a Portfolio Manager decide to allocate capital to it, leading to a profitable trade.

What frustrates people
  • The 'Immutability vs. Infrastructure' Paradox: The blockchain data is permanent, but the tools to access it (RPC nodes, APIs, indexers) are fragile and frequently fail or return inconsistent data, especially during high-volatility periods when you need them most.
  • Explaining DeFi to TradFi: Spending 30 minutes trying to explain impermanent loss to a Portfolio Manager who keeps asking, 'But what's the Sharpe ratio?' and ultimately just wants a simple buy/sell signal.
  • The Signal-to-Noise Nightmare: For every legitimate project, there are a hundred scams, forks of forks, and low-effort meme coins. Sifting through this on-chain garbage to find genuine opportunities is a significant time sink.
  • Constantly Moving Goalposts: A protocol you mastered last month is suddenly obsolete due to a new Layer 2. The regulatory framework you built your compliance models on is upended by a single government announcement. The technical meta is in constant flux, and you'll need to keep up.
  • Data Labelling Hell: The raw on-chain data is just a string of addresses and numbers. The real, painstaking work is accurately labelling wallets ('this is a Binance hot wallet,' 'this is a VC's accumulation wallet'), which is manual, tedious, and prone to error.
  • The 'Urgent' Wallet Check: Getting a panicked message from the trading desk at 10 PM: 'Is this address safe to interact with?' forcing you to drop everything for a high-stakes, rapid forensic analysis.
What this role does not give you
  • A predictable, unchanging daily routine
  • Immediate, direct control over large budgets or strategic direction
  • A quiet, solitary environment with minimal interaction
  • The ability to ignore regulatory changes or market shifts

7Who you work with

This role directly impacts our ability to assess risk and make informed investment and operational decisions in the digital asset space. Your work helps protect the firm from fraud, ensures we meet our regulatory obligations, and identifies potential alpha-generating opportunities. Without you, we're flying blind in a very complex, high-stakes environment.

Inside the business
  • Portfolio Managers
  • Risk Management Team
  • Compliance Officers
  • Treasury Operations
  • Internal Audit
Outside the business
  • Blockchain Data Providers
  • External Auditors
  • Regulatory Bodies (occasionally)

8What you need before you start

Not a wish list. The things you would be expected to already have.

  • At least 2 years of experience in data analysis, financial analysis, or a related field, ideally within a regulated financial services environment.
  • Proven ability to write and optimise SQL queries for data extraction and analysis.
  • Demonstrable experience with at least one data visualisation tool (e.g., Tableau, Power BI) for creating dashboards.
  • A genuine, demonstrable interest in blockchain technology and digital assets; this isn't just another job for you.
  • Strong problem-solving skills and a meticulous approach to data analysis.
  • Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical audiences.

9What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Python for On-Chain Interaction

Important within 12 months. Relying solely on web UIs for on-chain data will become a bottleneck. You'll need to interact directly with RPC nodes to pull real-time mempool data, execute custom calls, and automate data collection for more bespoke analysis.

web3.py / ethers.js Libraries · RPC Node Interaction · Mempool Data Analysis · Smart Contract Event Monitoring

  • This month: Complete an online course on web3.py or ethers.js fundamentals.
  • Month 2: Build a simple Python script to check the balance of a wallet on Ethereum.
  • Month 3: Develop a script to monitor a specific smart contract for large token transfers.
  • Month 4: Experiment with pulling mempool data to identify pending transactions related to a specific token.

Quick win: Start by using Python to automate repetitive data fetching tasks from existing APIs, even if it's not directly interacting with RPC nodes yet.

Data Warehousing Fundamentals (Snowflake/BigQuery)

Important within 12-18 months. As our internal data needs grow, we'll be building more sophisticated data pipelines. Understanding how data is structured and queried in a data warehouse like Snowflake or Google BigQuery will be crucial for accessing and combining on-chain data with our internal financial data.

Star Schema / Snowflake Schema · ETL/ELT Concepts · Optimising Queries for Large Datasets · Data Governance & Quality

  • This month: Complete an introductory course on Snowflake or Google BigQuery.
  • Month 2: Practice writing complex SQL queries against public datasets available in these platforms.
  • Month 3: Understand how our internal data is currently structured and discuss with our data engineering team.
  • Month 4: Propose a small project to ingest a specific on-chain dataset into a test environment of our data warehouse.

Quick win: Familiarise yourself with the basic architecture of cloud data warehouses and how they differ from traditional relational databases.

10Staying current once you are in

What people here do to keep up
  • Regularly engage with blockchain developer communities and forums (e.g., Ethereum Research, DeFi forums) to stay current on technical developments.
  • Attend industry conferences and webinars on digital assets, DeFi, and blockchain analytics.
  • Contribute to open-source blockchain analytics projects or personal projects that showcase your skills.
  • Complete advanced online courses in SQL, Python for data science, or specific blockchain protocols.
  • Participate in internal 'lunch and learn' sessions or present on new protocols you've analysed.

11How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

A broad read on this kind of work, not an analysis of this job on its own. Roles that share a pattern get the same answer here.

Fading: AI does more of this

AI is increasingly handling the routine generation of report summaries and initial data queries.

→
Rising: worth more because of AI

Your ability to interpret complex blockchain data and provide nuanced insights becomes even more valuable.

The new skill this role is being asked for: Prompt Engineering & LLM Integration

Critical within 6 months—this is already happening, not some distant future. Competitors are already using tools like GPT to draft reports in 10 minutes that used to take 2 hours. Analysts who figure this out will outproduce their peers significantly.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

Your PlanIllustration

Built for Blockchain Analyst

4 units that map to this job, from the qualifications that cover it.

  1. Data Analytics PrimerNOCN · covers 2 of 2 standardsLevel 4
  2. Data AnalyticsPearson Education Ltd · covers 2 of 2 standardsLevel 4
  3. Data AnalysisBCS, The Chartered Institute for IT · covers 1 of 2 standardsLevel 4
  4. Data analysis and designPearson Education Ltd · covers 2 of 2 standardsLevel 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration

Critical within 6 months—this is already happening, not some distant future. Competitors are already using tools like GPT to draft reports in 10 minutes that used to take 2 hours. Analysts who figure this out will outproduce their peers significantly.

  • Context Windows and Token Limits
  • Temperature Settings for Different Tasks
  • RAG Architectures for Proprietary Data
  • Output Validation and Hallucination Detection
  • Prompt Chaining for Complex Analysis

Decentralised Identity (DID) & Zero-Knowledge Proofs (ZKPs) Understanding

Important within 12 months. As regulatory scrutiny increases and privacy concerns grow, DIDs and ZKPs are becoming crucial for compliant, privacy-preserving transactions and attestations in finance. You'll need to understand how these technologies work to analyse their impact on on-chain activity.

  • Self-Sovereign Identity Principles
  • Verifiable Credentials
  • Basic ZKP Concepts (e.g., zk-SNARKs, zk-STARKs)
  • Impact on AML/CFT
  • DID Resolvers and Registries

What you’ll use

Skills this role draws on

Technical

  • On-Chain Forensics
  • Tokenomics Modelling
  • DeFi Risk Analysis
  • Crypto-Asset Valuation
  • AML/CFT Typology Mapping
  • Smart Contract Logic Interpretation

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Junior Data Analyst / Business Intelligence Analyst

    2-3 years

    Skills to master

    • SQL proficiency, data visualisation, basic statistical analysis, stakeholder communication, attention to detail.

    You're ready to move on when

    • Consistently delivers accurate reports and dashboards.
    • Proactively identifies data quality issues.
    • Can clearly explain data findings to non-technical users.
    • Has taken initiative to learn about blockchain in their own time.
  2. 2

    Financial Analyst (Traditional Finance)

    2-4 years

    Skills to master

    • Financial modelling, valuation techniques, market analysis, risk assessment, regulatory understanding.

    You're ready to move on when

    • Strong grasp of financial concepts and market dynamics.
    • Experience with financial data analysis tools.
    • Demonstrated curiosity about crypto-assets and their financial implications.
    • Can articulate the differences and similarities between traditional and digital finance.
  3. 3

    Blockchain Enthusiast / Self-Taught Analyst

    Varies (often 3-5 years equivalent)

    Skills to master

    • Deep understanding of blockchain mechanics, on-chain data querying (e.g., Dune), Python for data analysis, personal projects showcasing analytical capabilities.

    You're ready to move on when

    • Has a portfolio of personal on-chain analysis projects (e.g., GitHub, Medium posts).
    • Active participation in crypto communities and forums.
    • Can demonstrate strong SQL and Python skills applied to blockchain data.
    • Understands the key risks and opportunities in the digital asset space.

12How people get here · where they go next

Came from
Junior Data Analyst / Business Intelligence Analyst
2-3 years
You mastered the art of creating accurate reports and dashboards, laying the groundwork for deeper data analysis.
You are here
Blockchain Analyst
Mid-Level (2-5 years)
This role is all about digging into the raw, immutable data on various blockchains to find insights and risks for our finance operations. You'll be the one who can tell us what's *really* happening with a token or a protocol, not just what the marketing says. It's a bit like being a financial detective, but instead of dusty ledgers, you're sifting through millions of transactions.
Goes to
Senior Blockchain Analyst (DeFi or On-Chain Intelligence)
3-5 years
This role deepens your expertise, allowing you to lead complex investigations and become a go-to expert in specific blockchain domains.

The long view:Your journey here is what you make it. We're building a team that's defining the future of finance, and we're looking for people who want to grow with us, learn relentlessly, and make a real impact in a truly exciting space.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Blockchain Analyst is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • Quantitative Researcher, Digital Assets

13The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

The Navigator
The Navigator
Big-picture guide
Your Navigator helps you see how blockchain trends influence financial strategies, ensuring your analyses align with broader business goals.
The Coach
The Coach
Real practice
Your Coach sets up scenarios based on real on-chain data, offering feedback on your SQL queries and data visualisations to refine your approach.
The Explorer
The Explorer
Safe to try
Your Explorer encourages you to test new analytical methods on blockchain datasets, learning from both successes and missteps without judgement.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

14What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Data Analytics PrimerLevel 4

Applied to your work in Blockchain Analyst

This unit aims to equip learners with a foundational understanding of data analytics, including its applications and the stages of the data analysis lifecycle. Learners will explore various data types and structures, understand the role of data within an organisation, and recognise the importance of GDPR and compliance requirements in data handling.

The CoachLast time, we looked at how you tackled those SQL queries for token distribution. How did refining those help your analysis?

YouIt made the data much clearer and highlighted some unexpected trends.

The CoachGreat! Let's build on that by integrating Python to automate parts of your analysis, focusing on identifying potential risks more efficiently.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Blockchain Analyst

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Accuracy of Transaction TracingThe percentage of transaction traces and wallet risk assessments that are found to be correct and complete upon review.You trace a complex transaction flow involving three different chains and a mixer, and the Senior Analyst confirms every step and label is accurate, leading to a 100% score for that assessment.99%+ accuracy
  • Turnaround Time for Standard AnalysesThe average time taken to complete routine requests, like a standard wallet risk assessment or a basic protocol health check.A Portfolio Manager asks for a risk assessment on a new counterparty's wallet at 10:00 AM, and you deliver a comprehensive report by 10:45 AM, well within the target.Under 60 minutes for standard wallet risk assessments; 24 hours for basic protocol reports.
  • Protocols Covered & SummarisedThe number of new or updated protocols for which you deliver initial summary reports or health checks.You provide initial summaries for a new Layer 2 solution, an updated DeFi lending protocol, and a novel NFT marketplace, giving the team a quick overview of their mechanics and risks.2-3 new protocols per week
  • Query EfficiencyThe ability to write SQL queries that run quickly and don't hog database resources, especially on large datasets.Your Dune Analytics queries consistently return results within seconds, even when pulling data from multiple tables, showing good optimisation.Average query execution time under 30 seconds for routine tasks
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.
The Coach· your tutor
The CoachLast time, we looked at how you tackled those SQL queries for token distribution. How did refining those help your analysis?
YouIt made the data much clearer and highlighted some unexpected trends.
The CoachGreat! Let's build on that by integrating Python to automate parts of your analysis, focusing on identifying potential risks more efficiently.

It knows your role, your work, your last session. That's what one-to-one really means. No two people are ever taught the same way.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Blockchain Analyst to Senior Blockchain Analyst (DeFi or On-Chain Intelligence), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Blockchain Analyst (DeFi or On-Chain Intelligence)→ your design
A year from now

A year from now, you are the go-to person for nuanced blockchain insights, confidently guiding financial decisions with your deep analytical skills.

See Your Progress GrowIllustration
Blockchain Analyst
  • On-Chain Forensics
  • Tokenomics Modelling
  • DeFi Risk Analysis
  • Crypto-Asset Valuation
  • AML/CFT Typology Mapping
  • Smart Contract Logic Interpretation
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

15The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Blockchain Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Blockchain Analyst (DeFi or On-Chain Intelligence)

    3-5 years

    Level 3 (Senior)

    • Advanced On-Chain Forensics: Leading multi-chain, complex investigations into illicit activity or sophisticated exploits.
    • Specialised Protocol Deep Dives: Becoming the go-to expert for a specific area like Layer 2s, NFTs, or specific DeFi primitives.
    • Risk Framework Design: Contributing to the design and implementation of new risk assessment frameworks for novel digital assets.

  2. Quantitative Researcher, Digital Assets

    4-6 years

    Level 3 (Senior) or Level 4 (Lead)

    • Time Series Analysis for On-Chain Data: Understanding the unique challenges of time series analysis with blockchain data (e.g., irregular intervals, large spikes).
    • Machine Learning for Anomaly Detection: Building models to automatically detect unusual patterns in transaction flows or wallet behaviour.
    • Backtesting & Simulation: Rigorously testing quantitative strategies against historical on-chain data to assess their viability.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of a Blockchain Analyst's job is sifting through mountains of data, often repetitive. But what if you could offload the grunt work to AI and focus on the really interesting, high-impact stuff? That's exactly what we're doing here.

We're building an AI-first culture, particularly within our Finance_roles team. This means we're actively integrating AI tools into our daily workflows to automate the tedious, time-consuming parts of on-chain analysis, freeing you up to do more strategic thinking and complex problem-solving. This isn't about replacing you; it's about making you a super-analyst.

Wallet Auto-Labeling

Imagine AI models analysing transaction patterns and automatically classifying unknown wallets – 'likely exchange deposit address,' 'active DeFi farmer,' 'NFT artist's minting wallet.' This drastically cuts down on manual investigation time, letting you focus on the truly ambiguous cases.

Anomaly Detection Engine

Our AI monitors real-time on-chain data – transaction volume, gas fees, smart contract calls – to flag statistically significant deviations from the norm. This gives us early warnings of potential hacks, market manipulation, or just unusual activity that needs a human eye.

Whitepaper & Audit Summariser

Use Large Language Models (LLMs) to ingest those dense, 50-page whitepapers or technical smart contract audit reports. Get concise summaries that highlight key mechanisms, economic assumptions, and critical vulnerabilities in minutes, not hours. It's a game-changer for due diligence.

On-Chain Event Narrator

AI can translate a complex series of transactions into a simple, human-readable narrative for your reports. For example, 'Wallet 0xABC... (likely a VC) moved 10M tokens from a vesting contract to Binance, indicating potential near-term selling pressure.' This saves loads of time writing explanations.

Common questions

Common questions

How do you become a Blockchain Analyst?

Common routes in include Junior Data Analyst / Business Intelligence Analyst (2-3 years), Financial Analyst (Traditional Finance) (2-4 years) and Blockchain Enthusiast / Self-Taught Analyst (Varies (often 3-5 years equivalent)). Times vary with prior experience.

Where can a Blockchain Analyst progress to?

This role can lead on to Senior Blockchain Analyst (DeFi or On-Chain Intelligence) (3-5 years) and Quantitative Researcher, Digital Assets (4-6 years), depending on the skills you build.

What level is a Blockchain Analyst in the UK?

This role aligns to RQF Level 3 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Blockchain Analyst?

Increasingly, Prompt Engineering & LLM Integration and Decentralised Identity (DID) & Zero-Knowledge Proofs (ZKPs) Understanding. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Blockchain Analyst, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 2 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Blockchain Analyst: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

16Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Finance roles

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll gain here are highly transferable. You could move into broader data science roles within finance, specialise in FinTech product management, or even transition to a regulatory or compliance advisory role focused on digital assets. The demand for people who genuinely understand on-chain data is only growing.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.