Junior Data Analyst

Join the premier crypto-native accounting firm recognized by Forbes as a Best-In-State Top CPA.

We're hiring a Junior Data Analyst to support forensic blockchain data reconstruction for tax, audit and financial reporting.

This is not BI, dashboarding, SQL, or data science work.

It is high-volume, repetitive, accuracy-driven forensic digital asset processing inside an accounting firm.

We serve high-net-worth crypto investors, protocols, startups, and blockchain enabled businesses with elite tax, accounting, and advisory services.

We are looking for forensic-style data thinkers who want to build mastery in digital asset analysis with direct impact on accounting, tax, and compliance deliverables.

Camuso CPA is not hiring seat-fillers.

We're building a new wave of crypto-native operators from the ground up.

You will clean messy datasets, trace wallet-to-wallet fund flows, rebuild transaction histories, categorize thousands of crypto transactions and create audit-ready outputs.

Work is rule-based, SOP-driven, and requires strong written documentation.

You must enjoy deep-focus work, financial logic, and precision.

You'll work in the most complex data ecosystem in modern finance : on-chain transaction tracing and high-volume digital asset analytics.

You'll work directly with a Forbes-recognized U.S. firm, not through an agency or middleman.

You'll gain the skills few global analysts possess : parsing blockchain datasets, tracing fund flows across chains, identifying wallet behavior patterns, and decoding crypto financial activity at scale.

You'll be mentored directly by elite talent (accountants and analysts) in both the U.S. and South Africa and have the opportunity to earn your way into higher roles as we grow.

Junior Data Analysts (Crypto Cleanup + Web3 Accounting)

This is a full-time, remote contractor role.

You will work across :

• Crypto investors (traders, LPs, NFT collectors, DeFi users)
• Web3 companies (DAOs, protocols, exchanges, Web3 startups)
• Digital founders (SaaS, eComm, agencies, content creators)

Primary focus will be crypto cleanup, categorization, and reconciliation.

You may also be assigned web3 accounting and digital founder engagements depending on capacity and workload.

All new hires begin with internal crypto cleanup and reporting tasks to validate work quality, communication, and reliability before advancing to higher-scope work.

• Analyze high-volume on-chain datasets (K+ transactions, + wallets)
• Trace fund flows across chains, bridges, CEXs, and wallets
• Perform data cleaning, normalization, categorization, and reconciliation
• Use blockchain explorers (Etherscan, Solscan, BTC explorers, etc.)
• Identify wallet patterns, tagging anomalies, and transaction behavior
• Support preparation of analytical datasets for accounting & tax reporting
• Work with CSV exports, API pulls, and raw blockchain data
• Build clear, structured working papers and documentation
• Follow SOPs and replicate analytical processes consistently
• Participate in daily team check-ins

This is NOT a BI, dashboarding, SQL warehouse, or corporate analytics role.

Our analysts work in a forensic, accounting-adjacent environment where the primary responsibilities include :

• tracing on-chain fund flows
• cleaning and normalizing raw transactional datasets
• structuring large datasets into audit-ready outputs
• identifying patterns in blockchain activity
• supporting accounting & tax workflows with accurate data

If you are motivated by :

• transactional accuracy
• forensic analysis
• pattern recognition
• structured SOP-driven workflows

making messy data clean and reliable

You enjoy structured, routine, repetitive analytical work and take pride in accuracy, not creative analytics or open-ended projects.

If you prefer :

• dashboards
• visualization projects
• UX / product analytics
• AI experimentation
• high-level strategy presentations

This role is not a fit.

This role is forensic data work within an accounting firm.

You must genuinely want to build expertise in accounting-side data integrity, transaction tracing, and reconciliation not business analytics or modeling.

It is ideal for detail-focused thinkers who enjoy precision work, pattern detection, anomaly…