Senior Business Analyst (m/f/d)

Nasze wymagania: Deep expertise in business analysis with a strong track record in complex banking software. Experience in guiding other analysts and making trade-offs regarding scope and complexity. Strong ability to gather, prioritize, and analyze business requirements to drive effective solutions tailored to project objectives. Skills in visualizing and mapping business processes using BPMN to identify inefficiencies and optimize workflows. Proficient in utilizing Jira for task management, tracking progress, and ensuring seamless collaboration in Agile project environments. Experience in creating detailed and actionable user stories that reflect business needs and drive successful Agile development cycles. Advanced skills in writing and optimizing SQL queries for extracting, manipulating, and analyzing data to support database-driven workflows. Proficient in interpreting and analyzing complex datasets to generate actionable insights and support decision-making processes. Ability to create clear, concise, and comprehensive documentation to record technical decisions, processes, and project outcomes. Fluency in English and Polish at a minimum B2 level. Zakres obowiązków: Primary Action: Shape the overall functional architecture and ensure alignment with bank standards. Integration: Orchestrate the alignment of requirements across multiple value streams. Implementation: Define the analysis standards and patterns that all teams must follow. Quality: Set the bar for functional completeness and compliance across multiple squads. Collaboration: Facilitate cross-team workshops to align on shared domain models. Operations: Lead the response to major functional gaps and define mitigation strategies. Documentation: Create high-level process maps and capability models for auditors. Learning: Lead the analysis community of practice to spread knowledge across flexhub. Stakeholder: Partner with business leaders to align IT investments with business value. Improvement: Identify systemic process inefficiencies and drive large-scale improvements.