Jobs / United States / Adyen N V
Senior Optimization Data Analyst
Adyen N V · 🇺🇸 Chicago
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 30 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 5 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 Adyen N V paid sponsored hires in similar roles2 certified filings for “Senior Data Analyst” (Data Scientists) in IL: $142k–$154k, median $148k. 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 — Adyen N V
The US Department of Labor certified 30 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 5 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 Adyen N V →
About the role
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Optimization Data Analyst We are looking for a Senior Optimization Data Analyst to take a defining role in how Adyen drives payment performance for its most complex merchants. As a senior member of the Performance Optimization team, you will bring the full breadth of payment optimization expertise expected at this level, across authentication, authorization, and cost, while going deeper in risk, fraud, and ML-driven decisioning than any other role on the team. You will combine hands-on technical capability with recognized domain expertise in risk to lead the team's most complex merchant engagements, shape PO's analytical methodology, and accelerate the adoption of Adyen's optimization capabilities across the merchant portfolio. This role sits at the intersection of technical depth and commercial impact. You will work directly with large-scale transactional data, including ML output and labeled risk data, to generate comprehensive insights that connect to merchant strategy. You will do this in close collaboration with Adyen's product teams, through insights and feedback that drive product improvements, and an analytical layer that makes risk model behavior more interpretable and actionable for merchants and internal teams alike. You will build the frameworks, tools, and knowledge that allow the broader PO team and commercial stakeholders to operate with greater confidence and independence in this domain. The ideal candidate has a track record of driving measurable outcomes through data analytics in payments or fintech, with deep hands-on experience working with large-scale transactional data, and ML-based risk data. They operate with a high degree of autonomy, owning complex analytical problems end to end from scoping through to recommendation, without requiring active direction to make progress. And they bring the ability to translate what the data reveals into strategies that merchants and internal teams can understand and act on. What you'll do • Domain-Led Merchant Engagement: Lead PO's most complex merchant engagements in the risk, fraud, and ML optimization domain. This includes designing and interpreting sophisticated analyses, advising merchants on how to safely operationalize ML-driven decisioning systems, identifying performance gaps that require domain-level expertise to diagnose, and driving strategic improvements in fraud strategy, risk rule configuration, authentication flows, and authorization performance across Adyen's largest customers. • Risk Analysis and Insight Generation: Work directly with large-scale risk model data, including ML output and labeled risk data, to analyze model behavior, detect performance patterns, and generate insights across merchant segments, traffic types, and risk profiles. In close collaboration with Adyen's product teams, contribute to building an analytical layer that connects model behavior to merchant strategy, improving explainability and enabling more targeted optimization. This work requires the ability to go beyond standard analytics and work with raw, complex data to surface what is not yet visible. • Product Collaboration and Portfolio I