Senior Business Analyst – Data Transformation & User-Centric Design

Spyrosoft is a software engineering company established in 2016, specializing in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education, and financial services industries. The company was recognized as one of the fastest growing technology companies in Europe in 2021 and 2022 by the Financial Times.

• Minimum 4 years of professional experience in business analysis and requirements management.
• Experience defining and managing epics, user stories, and acceptance criteria.
• Knowledge of user-centered design methodologies, including journey mapping and pain point analysis.
• Experience in Agile delivery environments such as Scrum or Kanban.
• Experience with end-to-end redesign of data collection or data ingestion processes.
• Experience working within complex, multi-stakeholder environments.
• Minimum 1 year of experience in data transformation initiatives involving data management, data ingestion, or data products.
• Experience with data collection activities involving multiple organizations, countries, or distributed environments.
• Strong understanding of data flows, data lifecycle management, and data quality principles.
• Ability to bridge business and technical teams effectively.
• Experience in process modeling, process analysis, and continuous improvement methodologies.
• Practical knowledge of Agile frameworks and delivery practices.
• Excellent stakeholder management, facilitation, and communication skills.
• Strong analytical thinking and problem-solving capabilities.
• Ability to manage multiple priorities and work effectively in cross-functional teams.
• Experience with Azure DevOps or similar Agile management tools (e.g., Jira).
• Experience with process and data modeling tools (e.g., Visio, Signavio, BPMN tools).
• Proficiency with Microsoft 365 suite (Teams, SharePoint, Excel, PowerPoint).

Nice to have:

• Experience working with EU institutions, agencies, or regulatory environments (e.g., EFSA).
• Exposure to AI-enabled transformation initiatives and data-driven innovation programs.
• Understanding of data governance frameworks, compliance requirements, and regulatory standards.
• Experience supporting large-scale organizational transformation programs.

• Lead the elicitation, analysis, documentation, and management of business requirements, including epics, user stories, and acceptance criteria.
• Analyze and redesign data collection, data ingestion, and data management processes to improve efficiency, quality, and scalability.
• Conduct current-state (as-is) and future-state (to-be) process assessments, identifying gaps, bottlenecks, and opportunities for improvement.
• Apply user-centered design techniques, including user journey mapping, persona development, and pain point analysis, to enhance data services and user experiences.
• Support the implementation of data quality frameworks, validation mechanisms, exception handling processes, and operational readiness activities.
• Collaborate with business units, IT teams, data stewards, and external stakeholders to ensure alignment between business objectives and technical solutions.
• Facilitate Agile delivery activities, including backlog management, story refinement, sprint planning, reviews, testing coordination, and user acceptance support.
• Drive stakeholder engagement and communication across multidisciplinary teams, ensuring transparency and effective decision-making.
• Contribute to data and AI transformation programs through structured business analysis and process optimization initiatives.
• Support the adoption of best practices related to data governance, process management, and continuous improvement.