We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No metadata like Job ID. Remove boilerplate, navigation, legal, EEO, scam warning, etc. Also remove duplicated lines. Must preserve all substantive information.
We need to parse the posting.
Let's extract sections:
- About the role: The first paragraph: "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Integrated Marketing Analyst sits within Marketing Analytics and serves as the measurement engine for Airbnb's cross-channel growth initiatives, spanning Search, Growth Media, Affiliates, and Guest Engagement across Homes, Experiences, Services, and Hotels, as well as emerging pilots. You'll partner closely with Marketing, Creative, Data Science, and Finance to prove incrementality and optimize investment across a fast-moving, test-and-learn portfolio."
That's about the role.
- The Difference You Will Make: Could be Responsibilities? Actually it's about impact. Could be Responsibilities or maybe "Responsibilities" includes design experiments, analysis, collaborate, present, expand scope. Let's map.
The posting includes sections: "The Difference You Will Make", "A Typical Day", "Your Expertise", "Your Location", "Our Commitment To Inclusion & Belonging", "How We'll Take Care Of You", "Pay Range", "Reasonable Accommodations", "A Note on Recruiting Scams". Also "Education: Quantitative degree required."
We need to map to allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We need to decide which content goes where.
- About the role: as above.
- Responsibilities: likely the "The Difference You Will Make" and "A Typical Day" sections (design experiments, analysis, collaborate, present, expand scope). Could also include "Own measurement strategy: Design and lead the end-to-end measurement plan..." etc.
- Requirements: maybe "Your Expertise" includes experience, experimentation expertise, insights & influence, communication, technical skills, modern toolkit, adaptability, education. Could be split into Requirements (experience, education) and Qualifications (skills). But we have both Requirements and Qualifications headings allowed. We need to decide.
We could put:
- Requirements: Experience: 6+ years in analytics or data science, with depth in marketing, growth, or lifecycle/loyalty analytics. Experimentation expertise: Strong background in causal inference and designing experiments and holdouts for multi-touchpoint marketing programs. Education: Quantitative degree required.
- Qualifications: Insights & Influence: A track record of insights that directly shape strategy, roadmaps, and budget decisions at a senior level. Communication: Excellent ability to translate complex analytical trade-offs into clear, confident recommendations for senior, cross-functional stakeholders. Technical skills: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building scalable reporting tools. Modern toolkit: Experience using AI tools to accelerate analysis and build scalable solutions. Adaptability: Comfort operating with ambiguity across a fast-paced, evolving portfolio of initiatives spanning multiple business lines.
- Skills: maybe combine technical skills etc. But we already used technical skills under Qualifications. Could also have Skills separate: maybe list SQL, Python/R, AI tools, etc. But we need to avoid duplication.
Better: Use Requirements for experience and education. Qualifications for the other bullet points (insights & influence, communication, technical skills, modern toolkit, adaptability). Skills maybe not needed if we covered technical skills under Qualifications. But we need to include a Skills section only if there is real specific content. Could list specific technical skills: SQL, Python/R, AI tools, large-scale data environments, scalable reporting tools. That is already in technical skills bullet. Could put that under Skills.
Let's think: The posting includes "Technical skills: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building scalable reporting tools." and "Modern toolkit: Experience using AI tools to accelerate analysis and build scalable solutions." Those are skills. So we could have Skills section containing those.
Qualifications could be "Insights & Influence" and "Communication" and "Adaptability". Or we could combine.
We need to avoid empty sections. Let's decide:
- About the role: as above.
- Responsibilities: combine "The Difference You Will Make" and "A Typical Day". Provide bullet list of duties.
- Requirements: "Experience: 6+ years in analytics or data science, with depth in marketing, growth, or lifecycle/loyalty analytics." and "Education: Quantitative degree required." Also maybe "Experimentation expertise: Strong background in causal inference and designing experiments and holdouts for multi-touchpoint marketing programs." That could be a requirement as well. But we could put that under Requirements too.
- Qualifications: "Insights & Influence: A track record of insights that directly shape strategy, roadmaps, and budget decisions at a senior level." "Communication: Excellent ability to translate complex analytical trade-offs into clear, confident recommendations for senior, cross-functional stakeholders." "Adaptability: Comfort operating with ambiguity across a fast-paced, evolving portfolio of initiatives spanning multiple business lines."
- Skills: "Technical skills: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building scalable reporting tools." "Modern toolkit: Experience using AI tools to accelerate analysis and build scalable solutions."
- Benefits: The posting includes "How We'll Take Care Of You" which mentions: "Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits." That's about compensation and benefits. Also there is "Pay Range $164,000—$191,000 USD". So Benefits could include bonus, equity, benefits, Employee Travel Credits. But we need to separate Pay and Benefits. Pay section: Pay range. Benefits: bonus, equity, benefits, Employee Travel Credits. Also maybe "Reasonable Accommodations" but that's not a benefit; it's a process. We'll ignore.
- Schedule: Not mentioned. No schedule info. So we should not include Schedule section.
- Location: Not a heading we have; we could maybe put under About the role? But we have no heading for location. The instruction says only use those headings. So we should not create a Location section. We can embed location info in About the role or maybe in a short p under About the role? The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." Location is minor metadata? Could be folded into a short p. But we have no heading for location; we could include a short paragraph under About the role after the main description: "Location: US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity." That is metadata; we can include as a short p under About the role.
We must remove boilerplate: EEO, inclusion statement, reasonable accommodations, scam warning, etc. Also remove "Our Commitment To Inclusion & Belonging", "How We'll Take Care Of You" partly we used for benefits/pay but we need to extract only substantive info: pay range, bonus, equity, benefits, Employee Travel Credits. The rest like "Our job titles may span more than one career level..." is generic; we can keep the part about pay range and eligibility for bonus, equity, benefits, Employee Travel Credits. The sentence about base pay dependent on factors is generic but still part of pay description; we could keep it as part of Pay section? It's not specific but it's about pay determination. Might be okay. But we should avoid filler like "commensurate with experience". This is not filler; it's describing how pay is determined. It's okay.
We must not include "Reasonable Accommodations" or "A Note on Recruiting Scams". Also remove duplicated lines.
Now craft HTML.
Structure:
About the role
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Integrated Marketing Analyst sits within Marketing Analytics and serves as the measurement engine for Airbnb's cross-channel growth initiatives, spanning Search, Growth Media, Affiliates, and Guest Engagement across Homes, Experiences, Services, and Hotels, as well as emerging pilots. You'll partner closely with Marketing, Creative, Data Science, and Finance to prove incrementality and optimize investment across a fast-moving, test-and-learn portfolio.
Location: US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.
Responsibilities
- Own measurement strategy: Design and lead the end-to-end measurement plan for a major loyalty/community pilot, including multi-arm testing across benefits, credits, and offers.
- Design and analyze experiments: Owning experimentation end to end, write experiment plans and analyze the results.
- Conducting analysis to deliver actionable insights: Surface findings on customer segments, timing, and creative performance that inform decisions on scaling the program and where to prioritize.
- Collaborate with cross-functional partners: Partner with marketing, operations, finance, data science, and product to support a data-driven strategy for marketing, share results, and influence decisions through data.
- Present to leadership: Deliver clear, decision-ready readouts to senior marketing and cross-functional leadership on program and campaign effectiveness.
- Expand scope over time: As testing needs ease, apply the same experimentation approach to support other growth marketing priorities across additional lines of business.
Requirements
- Experience: 6+ years in analytics or data science, with depth in marketing, growth, or lifecycle/loyalty analytics.
- Experimentation expertise: Strong background in causal inference and designing experiments and holdouts for multi-touchpoint marketing programs.
- Education: Quantitative degree required.
Qualifications
- Insights & Influence: A track record of insights that directly shape strategy, roadmaps, and budget decisions at a senior level.
- Communication: Excellent ability to translate complex analytical trade-offs into clear, confident recommendations for senior, cross-functional stakeholders.
- Adaptability: Comfort operating with ambiguity across a fast-paced, evolving portfolio of initiatives spanning multiple business lines.
Skills
- Technical skills: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building scalable reporting tools.
- Modern toolkit: Experience using AI tools to accelerate analysis and build scalable solutions.
Pay