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Blockchain Analytics Jobs in Harrison, NJ (NOW HIRING)

Hands-on experience with blockchain data extraction, transformation, and analysis * Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems * Ability to work ...

The nature of our work ranges from analyzing complex blockchain transaction activity and its underlying technology to investigating criminal activity on the dark web. We are looking for a blockchain ...

InfoSec Analyst II, Trust

New York, NY Ā· On-site

$84K - $160K/yr

As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to ...

FinCrime Analyst

Manhattan, NY Ā· On-site

$90 - $130/hr

Hands-on experience with monitoring and blockchain analytics tools such as Sardine, Elliptic or others * Excellent investigative writing -- able to produce audit-ready case narratives and evidence ...

Head of Compliance

New York, NY

$137K - $184K/yr

Selection, implementation, and ongoing management of blockchain analytics and screening providers, held to measurable performance rather than to their sales decks. Compliance by design. Working with ...

Head of Compliance

New York, NY Ā· On-site

$137K - $184K/yr

Selection, implementation, and ongoing management of blockchain analytics and screening providers, held to measurable performance rather than to their sales decks. Compliance by design. Working with ...

Direct experience with blockchain analysis tools (e.g., Chainalysis, TRM Labs, Elliptic) or trade‑surveillance platforms (e.g., Eventus/Validus, Nasdaq SMARTS) * A track record of building a case ...

Head of Compliance

New York, NY Ā· On-site

$137K - $184K/yr

Selection, implementation, and ongoing management of blockchain analytics and screening providers, held to measurable performance rather than to their sales decks. Compliance by design. Working with ...

Showing results 21-40

Blockchain Analytics information

See Harrison, NJ salary details

$67.6K

$131.3K

$187.5K

How much do blockchain analytics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for blockchain analytics in Harrison, NJ is $131,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $156,100.00 per year, depending on experience, location, and employer.

What is blockchain analytics?

Blockchain analytics is the process of examining, interpreting, and visualizing data stored on blockchain networks. This field involves using specialized tools to track transactions, identify patterns, and uncover relationships between entities on the blockchain. It is widely used in areas like compliance (e.g., anti-money laundering), law enforcement investigations, and market research. By analyzing blockchain data, organizations can gain insights into asset flows, detect suspicious activity, and make informed business decisions.

What are the key skills and qualifications needed to thrive as a blockchain analytics professional?

To thrive as a Blockchain Analytics professional, you need strong analytical skills, a solid understanding of blockchain technology, and experience with data analysis, typically supported by a degree in computer science, data science, or a related field. Familiarity with blockchain exploration tools (like Etherscan), data visualization platforms (such as Tableau), and programming languages (like Python or SQL) is commonly required, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting complex data and conveying insights to stakeholders. These competencies are crucial for identifying trends, detecting anomalies, and supporting decision-making in blockchain-enabled environments.

What are some common challenges faced by professionals in blockchain analytics, and how can they be addressed?

Professionals in blockchain analytics often encounter challenges such as dealing with large volumes of decentralized, pseudonymous transaction data and staying current with rapidly evolving blockchain technologies. Addressing these challenges requires strong analytical skills, proficiency with specialized tools, and continuous learning through industry resources and certifications. Collaboration with cybersecurity teams and developers is also essential to interpret data effectively and uncover actionable insights. Regularly participating in online forums and blockchain communities can help analysts keep up with emerging trends and best practices.

What is the difference between Blockchain Analytics vs Blockchain Data Analyst?

AspectBlockchain AnalyticsBlockchain Data Analyst
Required CredentialsCertifications in blockchain analysis, data analysis, or related fieldsData analysis certifications, blockchain courses, or related degrees
Work EnvironmentData analysis teams, blockchain firms, financial institutionsData teams, blockchain companies, research organizations
Employer & Industry UsageFinancial services, compliance, security firmsCrypto startups, blockchain projects, research institutions
Common Search & ComparisonYesYes

Blockchain Analytics focuses on analyzing blockchain data to detect patterns, monitor transactions, and ensure compliance. Blockchain Data Analysts interpret blockchain data to generate insights, reports, and support decision-making. While both roles work with blockchain data, analytics emphasizes monitoring and security, whereas data analysis centers on deriving actionable insights from blockchain information.

What cities near Harrison, NJ are hiring for Blockchain Analytics jobs?

Cities near Harrison, NJ with the most Blockchain Analytics job openings:

Blockchain, Data Analytics (Remote)

Serotonin

New York, NY • On-site, Remote

$80K - $150K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago


Job description

Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.Ā 
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About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment
Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)
Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy
Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights
Bonus Points
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)
This position is ideal for someone who...
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact
Benefits
  • Competitive Salary
  • Health Insurance - (US Only)Ā 
  • 401(k) - (US Only)Ā 
  • Remote Work Environment
  • Maternity/Paternity Leave
$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
Ā 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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