Service Delivery Automation Analyst

✨ One platform, a whole world of opportunity The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies Named one of America's Greatest Startup Workplaces 2026 by Newsweek A G2 Spring 2026 Leader across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. The Role Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be currently based within the EMEA region. Ever built an automation that saved hours of manual work, only to discover the real problem was the process itself? That's exactly the kind of challenge you'll tackle at Oyster. We help companies employ people across dozens of countries. Behind every successful payroll cycle are hundreds of details that need to be right: benefits, expenses, time off, timesheets, salary changes, and country-specific requirements. The challenge? Not all that information arrives neatly packaged. Some comes through payroll platforms and service systems. Other details are buried in emails, contracts, receipts, attachments, or requests that need a human to make sense of them. Your job is to turn that complexity into reliable, automated workflows. You'll identify what's slowing teams down, question whether certain steps are needed at all, and build solutions that turn messy information into accurate, validated, payroll-ready data. This is a hands-on role where you'll take ownership of defined automation projects, from understanding the problem and building a solution to launching it, monitoring performance, and making improvements. You'll work with tools like n8n, Alteryx, SQL, APIs, and AI, but you won't be expected to use AI for everything. Sometimes the smartest solution is a simple rule, a better process, or preventing an issue before it happens. And because your work directly affects people's pay, getting things right matters just as much as making them faster. The goal? Less repetitive work, fewer avoidable issues, and smoother, more predictable payroll cycles across countries. Here's what you'll be working on: Understand what really happens behind the scenes. Map payroll processes from start to finish, including how information moves between systems, where validation and calculations happen, what needs reconciling or reporting, and how deadlines, country-specific rules, and exceptions affect the process. Find the work worth automating. Identify repetitive tasks, manual checks, and recurring problems. Use data to assess their impact on customers and Team Members, how often they happen, the risks involved, implementation effort, and whether a solution can work across countries. Fix the process, not just the task. Question unnecessary steps and look for ways to prevent missing information, avoidable requests, and errors before they reach payroll. Turn expert knowledge into reliable rules. Work with payroll and operations specialists to translate complex policies and requirements into clear, documented, version-controlled logic, including effective dates and required data. Put AI to practical use. Use large language models (LLMs) to understand requests, extract information from documents and emails, and direct cases to the right place. Build validation checks so AI-generated outputs are verified before they affect payroll. Build automations that actually run. Create, connect, and maintain workflows using n8n, Alteryx, and LLM-based tools, integrating service platforms, payroll systems, databases, APIs, and internal tools. Know when not to automate with AI. Choose between rule-based logic, workflow automation, AI, and human review depending on the task. Keep predictable legal and policy requirements in transparent, auditable rules, and document your decisions. Build reliability into every workflow. Include audit trails, error handling, alerts, exception queues, and appropriate approval controls. Make sure records are never silently changed, dropped, or excluded. Test before it matters. Build prototypes quickly, then test them against real payroll scenarios, unusual cases, and exceptions. Use shadow testing and parallel runs before introducing changes that affect live payroll. Make payroll operations more proactive. Automate timely information sharing, payroll-input checks, the identification of exceptions that affect pay, and reconciliation between payroll and invoices. Own what happens after launch. Track performance, measure whether automations deliver the expected improvements, troubleshoot issues, and improve or retire solutions that aren't working. Work with the teams building the bigger picture. Partner with Product, Engineering, and Data when a problem needs a lasting platform-level solution. Turn operational insights into clear requirements and working examples they can build on. Handle sensitive information responsibly. Apply privacy, security, and responsible-AI standards, especially when working with health, leave, or other sensitive p