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Senior Business Analyst

Location

North Macedonia

Posted

58 days ago

Salary

0

Seniority

Senior

No structured requirement data.

Job Description

Senior Business Analyst

Symphony Solutions

Role Description - 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. Qualifications - 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. Requirements - 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).

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