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Revenue Operations Analyst

Chainalysis

New York, NYFull-timePosted 1 day agoStill listed 1 day ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Revenue Operations Analyst supports Chainalysis’s revenue operations organization by improving operating processes, supporting business reviews, and strengthening consistency across business partners. The role develops reporting and dashboards, maintains data integrity, helps resolve business risks, and investigates automation opportunities. It also supports recurring RevOps activities and process documentation. The position prefers New York hybrid work, with the Eastern time zone as an alternative preference.

Skills & qualifications

RequiredNice to have

Skills

Sales OperationsData AnalysisMicrosoft Dynamics CRMG SuiteProject DocumentationFinanceSalesforceGoogle SuiteAI ToolingAttention to DetailOrganizational SkillsCommunicationInterpersonal SkillsCollaborationAdaptabilityResiliencePrioritizationCryptocurrencyBlockchainInternet/Software Companies

Qualifications

1+ Years Experience

Full job description

Job Title: Revenue Operations Analyst Location: New York Hybrid preferred, alternatively EST timezone preferred

Team Description: Chainalysis is the leader in blockchain intelligence, defining how trust is built in the digital economy. We're operating at the cutting edge of one of the world's fastest-growing industries, shaping what comes next. Our revenue operations team isn’t just about the process; we’re the strategic engine that fuels our growth, eliminating obstacles, and building the robust framework our revenue operations organization needs to accelerate progress.

Role Description: As the Revenue Operations Analyst, you’ll be instrumental in optimizing our operating processes, supporting key business reviews, and driving consistency across the business partners. You’ll leverage a sharp analytical mind and attention to detail to drive efficiency and rigor across a globally distributed revenue organization. If you’re a strategic thinker with a passion for driving impactful improvements in a dynamic environment, this is your opportunity to make a significant impact.

In this role, you’ll:

  • Orchestrate Operational Excellence: Collaborate with the revenue operations organization to prepare for and execute rigorous sales pipeline and forecast reviews, impactful monthly/quarterly business reviews, and fiscal year planning.

  • Unlock Data Driven Insights: Collaborate on the design, evolution, and maintenance of reports, analysis, and dynamic dashboards that provide actionable intelligence for critical business decisions.

  • Optimize Reporting Mechanisms: Support the development, enhancement, and maintenance of key reporting processes and tooling to equip our BPs with the necessary tools to glean actionable insights into their business performance.

  • Drive Data Integrity: Own the maintenance of and improve the quality of our data inputs across the business partners function.

  • Collaborate cross-functionally: Partner closely with the business partners to proactively address and drive visibility on the resolution of outstanding business risks. This includes AR aging, extension requests, and ensuring the information is actioned in a timely fashion.

  • Support Recurring RevOps Activities: Partner with the Geo business partners to resolve recurring items including: Salesforce Data integrity and maintenance, account creation, lead routing amongst others, weekly forecasting reviews, dashboarding updates.

  • Drive automation: Work with the business partners to investigate and build automated solutions to reduce manual processes.

  • Process Documentation: Collaborate with the revops organization to help document and build out Standard Operating Procedures.

We’re looking for candidates who have:

  • 1-3 years of experience in sales operation, finance, or a similar analytical role demonstrating a track record of driving significant improvements.

  • Strategic and Analytical Background: Ability to interpret complex data and provide actionable insights.

  • Proficiency in CRM software (Salesforce) and Google Suite products.

  • Experience leveraging AI tooling to streamline process and remove redundancies

  • Exceptional attention to detail and organizational skills.

  • Strong communication and interpersonal skills, with the ability to collaborate effectively across departments.

  • Adaptability and Resilience: Ability to work independently and manage multiple priorities in a fast-paced environment.

Nice to have experience:

  • Interest in cryptocurrency, blockchain, and related technologies, or a deep curiosity and willingness to learn.

  • Prior experience in a high growth internet/software company.

  • Strong interest in leveraging AI tooling.

This position is ineligible for visa sponsorship. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. 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 shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.

About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.

You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.

How this job compares

Set against the 1,838 open Sales Operations jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This postingNot listed
  • New York median$138–189K/yr160 salary ranges
  • US median$25–31/hr67 hourly ranges
Openings
Olive Jobs lists 221 open Sales Operations jobs in New York and 1,838 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 1 year of experience — less than three in four Sales Operations postings that state a minimum ask for (median 5 years, across 1,539 postings).
Education
437 of the 1,838 open Sales Operations jobs (24%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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