Senior Business Operations Analyst

The user wants me to reformat a job posting into clean, well-structured semantic HTML. I need to follow specific rules: 1. Use

for section headings (About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule) 2. Use

• for lists of duties/requirements/benefits 3. Use

  for prose 4. Do NOT repeat the job title as a heading 5. Do NOT put Job ID/requisition numbers as headings 6. Preserve ALL substantive information 7. Remove boilerplate (cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions) 8. Include a section ONLY when the posting has real, specific content for it 9. Never emit a heading followed by filler/placeholder text 10. Never create Pay/Schedule/Benefits sections unless the posting actually states them 11. Output ONLY the HTML fragment — no /, no markdown code fences Let me analyze the job posting content: The posting has: - An introductory paragraph about the Business Operations team - "In this role, you'll:" followed by a description - "You will also:" with bullet points - "We are looking for candidates who have/are:" with requirements - "Nice to have experience:" with preferred qualifications - "AI at Chainalysis" section - "About Chainalysis" section - "You belong here" diversity statement - "Compensation Range: $105K - $161K" I need to structure this into appropriate sections. Let me map: 1. "About the role" - the introductory paragraph about the team and role 2. "Responsibilities" - the "In this role, you'll" and "You will also" sections 3. "Requirements" - "We are looking for candidates who have/are" 4. "Qualifications" or "Skills" - "Nice to have experience" 5. "Pay" - Compensation Range is mentioned The "AI at Chainalysis" and "About Chainalysis" and "You belong here" are more company boilerplate. The instructions say to remove EEO/equal-opportunity boilerplate. The diversity statement is EEO boilerplate. "About Chainalysis" is company description boilerplate. "AI at Chainalysis" is company philosophy. I should probably include the AI section as it's specific to how they work, but it's not a standard job section. The instructions say "Prefer a few substantive sections over many thin ones." I'll include the AI section as it's substantive content about expectations. But the instructions say: "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". So I should stick to those standard headings. The AI section doesn't fit neatly. I could include it under "About the role" or as a separate section? The instructions say include a section ONLY when the posting has real, specific content for it. The AI section has specific content about AI expectations. But it's not one of the example headings. I could use a custom heading? The instructions say "e.g." meaning those are examples. But they also say "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". This suggests those are the expected headings. However, the AI content is substantive. I'll include it as a separate section with a relevant heading like "AI at Chainalysis" but that's not in the list. The instructions say "use

  for section headings (e.g. ...)" - the "e.g." implies those are examples, not exhaustive. But to be safe, I'll map the AI content into "About the role" or create a "Work Environment" or similar? Actually, the AI section describes expectations for the role, so it could be part of "Requirements" or "Qualifications". But it's a separate narrative. Let me think: The posting has clear sections: - Team/role description (About the role) - Responsibilities (In this role you'll + You will also) - Requirements (We are looking for candidates who have/are) - Nice to have (Qualifications/Skills) - AI at Chainalysis (company-specific expectation) - About Chainalysis (company boilerplate) - You belong here (EEO boilerplate) - Compensation Range (Pay) I'll include: - About the role (team description + role summary) - Responsibilities (both bullet lists) - Requirements (required qualifications) - Qualifications (nice to have) - Pay (compensation range) I'll omit "About Chainalysis" and "You belong here" as boilerplate. The AI section is interesting - it's about how they work and expectations. It's not standard boilerplate; it's specific to Chainalysis and describes expectations for all employees. I could include it as a separate section "AI Fluency" or "Work Approach". But the instructions say "Prefer a few substantive sections over many thin ones." I'll incorporate the AI content into "About the role" or "Requirements"? Actually, it says "AI fluency is tied directly to how we measure performance and how we plan to win." That's a requirement/expectation. I'll include it as a subsection under Requirements or as a separate "Expectations" section. But to follow the heading examples, I'll maybe add it as a separate section with heading "AI & Innovation" or similar. However, the instructions say "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". It doesn't forbid other headings, but suggests those. I'll stick to the standard ones and fold AI into "About the role" as it describes the work environment. Let me structure:

  About the role

  ...team description...

  ...role summary...

  ...AI at Chainalysis content...

  Responsibilities

  • ...from "In this role, you'll"...
  • ...from "You will also:"...

  Requirements

  • ...from "We are looking for candidates who have/are:"...

  Qualifications

  • ...from "Nice to have experience:"...

  Pay

  Compensation Range: $105K - $161K

  I need to preserve ALL substantive information. The "In this role, you'll" paragraph is prose, then "You will also:" has bullet points. I'll combine them into one responsibilities list. Let me extract the content precisely. First paragraph: "The Business Operations team sits within Finance and partners across Chainalysis to strengthen how the company plans, makes decisions, and executes. Combining analytical rigor with practical operating judgment, the team helps leaders translate company priorities into clear plans, effective operating rhythms, and measurable outcomes. As Chainalysis continues to evolve, Business Operations also helps build the processes and ways of working that enable teams to scale and adapt. You’ll join a close-knit team working with partners across Finance, R&D, go-to-market, Legal, Security, and beyond. The team takes on high-priority work across the business, often creating structure where approaches are still taking shape, and helps teams align and move change forward. This role offers broad exposure to Chainalysis and the opportunity to help shape how the company operates through its next stage of growth." Second: "In this role, you’ll: As a Senior Business Operations Analyst at Chainalysis, you will be a strategic operator and connective tissue across leadership and functions - helping translate company priorities into clear plans, operating rhythms, and measurable outcomes. You’ll partner with leaders across Finance, Product, Engineering, Sales, Marketing, Customer Success, and other teams to improve how the business plans, makes decisions, and executes. You’ll support high-priority, cross-functional initiatives end to end: framing ambiguous problems, developing analyses and recommendations, aligning stakeholders, establishing milestones and governance, and driving follow-through. You’ll help run planning and business review cadences, build KPI reporting and insights, improve processes and systems, and support change initiatives such as pricing and packaging, go-to-market readiness, product launches, and organizational or operating-model changes." Third: "You will also: Identify friction in cross-functional workflows and design scalable processes, tools, and operating mechanisms. Prepare clear, data-informed recommendations and executive-ready materials. Manage multiple work-streams and facilitate alignment across stakeholders, balancing speed, rigor, and effective change management." Fourth: "We are looking for candidates who have/are: 3–6 years of experience in business operations, strategy and operations, management consulting, finance, program management, or a related field—ideally in a SaaS or technology environment. Strong analytical and problem-solving skills, with the ability to translate data into insights, recommendations, and decisions. Excellent written and verbal communication skills, including the ability to create executive-ready narratives and materials. Demonstrated ability to lead cross-functional initiatives from problem definition through implementation and measurable outcomes. Strong project and program management skills, including prioritization, stakeholder management, and attention to detail. Familiarity with business intelligence, data, and collaboration tools; experience with Jira, Confluence, Databricks, spreadsheets, SQL, and/or AI-powered tools is a plus. Ability to drive clarity in ambiguity, influence without authority, and demonstrate resilience in a dynamic environment. Curious, adaptable, and motivated to learn quickly, challenge assumptions, and make the company and team better." Fifth: "Nice to have experience: Business Operations or Strategy & Operations experience in a high-growth SaaS or technology company. Supporting annual or quarterly planning, operating cadences, business reviews, resource allocation, or strategic planning processes. Establishing KPIs, building performance dashboards, and using data to identify trends, risks, and opportunities. Supporting pricing and packaging, go-to-market or commercialization initiatives, product launches, or broader change-management efforts. Applying agile, lean, or other process-improvement methodologies to scale how teams work. Interest in and general knowledge of blockchain and cryptocurrency, including key players and market dynamics." Sixth: "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." Seventh: "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." Eighth: "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