Advanced Analyst (contract)

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way. Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:

• Our community is based on connection and belonging.
• Our creativity allows us to imagine new possibilities for people.
• Our responsibility is to all of our stakeholders.
• It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company

The Paid Social AA sits within Marketing Analytics and serves as the measurement and analytical engine for Airbnb's paid social media investments — spanning brand, mid-funnel consideration, and performance campaigns across platforms like Meta and TikTok. You'll partner closely with Paid Social Media, Integrated Marketing, Creative, and Data Science to prove the incremental value of paid social spend and optimize full-funnel campaign performance. You will be the dedicated analytics owner of Airbnb's paid social mid-funnel strategy — a new consideration layer designed to bridge brand awareness and conversion. You will execute platform-level measurement studies, work with Data Science to design and analyze geo-randomized tests, and provide the analytical rigor needed to scale (or sunset) mid-funnel investment. This role partially replaces external agency analyst functions and brings critical measurement capabilities in-house. A Typical Day (job responsibilities) Execute platform-level Conversion Lift Studies (CLS) and Brand Lift Studies (BLS) to quantify the incremental impact of mid-funnel campaigns on qualified traffic, intent lift, and bookings. Partner with Data Science to initiate and analyze geo-randomized tests that isolate mid-funnel contribution from organic and other paid channels — translating results into clear investment recommendations. Own mid-funnel measurement and reporting — build and maintain dashboards tracking primary KPIs (intent/preference lift, qualified traffic, incremental bookings, Cost Per Booking) and creative performance across asset clusters. Analyze creative and audience performance — determine which messages (value, variety, reliability, etc.), formats (polished vs. CGC), and audience segments most efficiently drive consideration and downstream conversion. Surface proactive insights on budget allocation, audience saturation, creative fatigue, and cross-funnel lift to inform bi-weekly optimization cycles and strategic recommendations for Director-level marketing leaders. Contribute to the learning agenda — structure test-and-learn plans that answer key strategic questions (e.g., Does mid-funnel investment reduce blended CPA? Which RTBs drive highest intent lift?). Collaborate cross-functionally with Paid Social Media on campaign execution, with Integrated Marketing on messaging strategy, and with agency partners on creative performance feedback loops. Your Expertise (qualifications) 7+ years in analytics or data science, with depth in marketing/lifecycle measurement, CRM/host or customer outreach, or growth analytics. Strong experimentation and causal inference skills: experience designing, executing, and analyzing experiments. Measurement fluency: hands-on experience with campaign/lifecycle measurement across channels (email, push, and emerging channels), attribution methodologies, and their limitations. Analysis that drives action: your insights directly shape lever prioritization, channel strategy, and resourcing decisions — you influence planning and prioritization through Director level. Excellent communicator: able to distill complex measurement results into clear, compelling recommendations for senior stakeholders and partners. Comfortable pushing back when the data warrants it. Technical proficiency: advanced SQL and Python/R. Experience working in large-scale data environments and building scalable reporting. AI-forward mindset: experience leveraging AI tools to automate workflows, accelerate analysis, and build scalable solutions. Education: Quantitative Degree Required. Advanced Degree Preferred. Hourly Pay Rate Range (dependent on location, experience, expectation) The pay range that Magnit reasonably expects to pay for this position is: $ 120-133/hr Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met) All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.