Jobs / United States / Airbnb
Senior Analyst, Frontline Performance
Airbnb · 🇺🇸 United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 71 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Airbnb paid sponsored hires in similar roles6 certified filings for “Lead Analyst” (Operations Research Analysts) in CA: $154k–$176k, median $164k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Airbnb
The US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 71 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Airbnb →
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: Fraud & Safety Delivery (FSD) is at the heart of keeping Airbnb safe for the millions of hosts and guests who trust our platform every day. As part of Global Operations, FSD reviews and resolves potential fraud and safety cases across the full user lifecycle, with internal and partner specialists operating 24/7 across the globe. You'll sit in Frontline Operations, working alongside the operations managers who run our frontline teams, including the vendor teams who deliver alongside us. Your closest partners are Advanced Analytics, Capacity Planning, Quality Analytics, Business Intelligence and Tools Support. The Difference You Will Make: Right now, when a frontline metric moves, it takes several teams and several days to work out why, and the answer often arrives after the moment to act on it has passed. This role changes that. You will be the single accountable answer on specialist-driven performance for Frontline Operations: what moved, which specialists, queues, vendors or sites it came from, and what we should do about it. Success looks like root causes and recommendations delivered in hours rather than days, and a growing share of performance issues you surfaced resolved before they hit a top-line metric. A Typical Day: • Break down frontline performance by specialist, queue, vendor and site — analysing operational data to get to the level of detail the question actually needs. • Root-cause specialist-driven moves in SLA, AHT, accuracy and utilisation, and deliver one accountable answer rather than a set of possibilities. For example: tracing an ATOQ SLA drop to a specific staffing change on a specific site, with the size of the effect quantified. • Monitor specialist-level metrics for problems that never show up in the top-line numbers, and take a recommendation — not just a finding — to Frontline Delivery leadership. • Write the requirements for specialist metrics and dashboards, and refine them with Tools Support, so the reporting frontline managers use every day answers their real questions. • Work the boundaries deliberately: hand causes that aren't specialist-driven to Business Intelligence, take Capacity Planning's approved volume forecasts as an input, and use Quality Analytics' case audits as evidence. • Sit in weekly business reviews and operational escalations, explaining what the data means to people who need to make a decision in the next ten minutes. • Use AI tooling as a first resort rather than a last one, including our internal AI data analytics tools, to get to an answer in minutes instead of hours. Your Expertise: • 8+ years in operations analytics, workforce analytics, business intelligence or a comparable analytical role, in an environment where operational decisions were made on your numbers. • You write your own SQL to a high standard — complex joins, window functions, and the judgement to know when a result is wrong. You will not be building dashboards; you'll be specifying them. • Deep contact-centre or high-volume operations knowledge: you understand SLA, AHT, occupancy, shrinkage, adherence and how a staffing decision on one site shows up in a queue metric two weeks later. • Proven root-cause work in a multi-vendor, multi-site delivery model, where the answer sits somewhere between staffing, skilling, tooling and process — and you're able to say which. • You give one clear answer and stand behind