Senior Business Analyst

Symphony Solutions is a Cloud and AI-driven IT company headquartered in the Netherlands. We are a premier software provider of custom iGaming, Healthcare, and Airline solutions. Devoted to delivering the highest quality of service, we offer our expertise in full-cycle software development, cloud engineering, data and analytics, AI services, digital marketing orchestration, and more. Since our founding in 2008, Symphony Solutions has been serving many international clients primarily in Western Europe and North America. 5+ years as a Business Analyst on complex software products, with at least 1 year in iGaming or regulated digital platforms Proven ability to write production-quality requirements: user stories, acceptance criteria, and edge cases that are ready for development Fluency in Lean AI-SDLC workflows — able to drive discovery, refinement, and delivery cycles with speed and minimal waste; strong facilitation and presentation skills to align stakeholders and engineering teams effectively Proficiency with Jira (ticket management, sprint tracking) and Confluence (documentation, decision records, knowledge base) Excellent written and spoken English (C1) — you’ll be writing specs and participating in client-facing calls independently Strong prioritisation skills — able to manage a complex, multi-track backlog, make confident trade-off decisions, and context-switch between workstreams without losing quality or pace Resilience and composure in a high-pressure, fast-changing environment — comfortable with ambiguity, shifting priorities, and tight delivery timelines Comfort working with incomplete information — able to drive clarity through structured discovery rather than waiting for perfect inputs Actively uses AI tools (Claude, ChatGPT, or equivalent) in daily BA work — requirements drafting, document comparison, acceptance criteria generation, impact analysis, and meeting summaries Able to write effective prompts for requirements decomposition: turning a vague feature idea into a structured set of user stories with edge cases Understands LLM concepts at a product level: prompt engineering, context windows, hallucination risks, topic classification — enough to be a competent BA on an AI-powered product Comfortable reviewing and contributing to AI-generated user stories and test cases — knows when the output is good enough and when it needs human correction Familiar with AI workflow automation tools (Cowork, n8n, Make, or similar) for automating repetitive BA tasks such as report drafting or ticket updates Curious and self-directing about new AI tooling — experiments independently and shares learnings with the team Nice to have: Experience with sports betting or casino domain: understanding of bet slip mechanics, odds formats, markets, PAM (Player Account Management) Experience on a sportsbook backoffice platform (trading, market configuration, manual bet placement, liabilities, bet ticker) Familiarity with multi-tenant / multi-brand SaaS platform architecture and the requirements complexity that comes with it Background writing requirements for chatbot, conversational AI, or virtual assistant products — intent mapping, dialogue flows, fallback handling Knowledge of KYC/AML compliance requirements in regulated gambling jurisdictions (UK, Africa, EU) Responsibilities: Own requirements for assigned product tracks — from discovery through Definition of Ready, across sportsbook, AI chatbot, and backoffice modules Facilitate backlog refinement and sprint planning sessions: prepare tickets, ensure acceptance criteria completeness, unblock estimation, and drive team alignment on scope Produce and maintain product and feature documentation in Confluence — architecture context, decision records, process flows, and integration specs Collaborate directly with the Solution Architect and Product Owner on feature decomposition and prioritisation decisions Define and document access control rules, validation logic, and edge-case flows for complex features (deposits, withdrawals, responsible gambling, bet placement, conversational UI flows) Contribute to usability testing analysis — classify test outcomes, identify unexpected failure patterns, and translate findings into actionable defects or improvement items Support client-facing discovery and scope definition calls — prepare questions, capture decisions, produce written summaries Onboard new team members on product domain knowledge and serve as the go-to for product context questions Champion AI tooling adoption within the BA function — run demos, share prompt templates, and help peers integrate AI tools into their daily workflows