Senior IT Analyst (Data Domain)

Jit Team is a Polish IT company with over 770 experienced experts, engaged in developmental projects and providing innovative IT solutions globally. They have a long-term relationship with a leading financial group in the Nordic countries, working on over 60 projects delivered by more than 200 personnel. The company emphasizes Scandinavian culture promoting work-life balance and feedback culture. Jit Team also engages in charitable and educational activities supporting schools, universities, hospitals, and local communities.

• 5+ years of experience in Data Analysis, Business Analysis, IT Analysis, Data Engineering, or similar roles
• Proven experience designing data-intensive solutions in complex enterprise environments
• Hands-on experience within the banking or financial services industry
• Strong understanding of requirements elicitation techniques and business analysis methodologies
• Proven ability to transform business requirements into functional and non-functional specifications
• Experience with AI solutions including Copilot, LLMs, and agentic approaches, able to drive adoption
• Excellent SQL skills including experience with Snowflake and MS SQL Server
• Experience with Snowflake and dbt in modern data platforms
• Knowledge of architectural and engineering practices such as Domain-Driven Design, Event Sourcing, Microservices Architecture, and Clean Code principles
• Experience building and scaling data products focused on enabling data-driven decision-making
• Strong stakeholder management, relationship-building, and facilitation skills

• Elicit and analyse functional and non-functional requirements by collaborating with business and technology stakeholders
• Work closely with Product Owners and stakeholders to clarify, document, and translate requirements into implementation specifications
• Perform data mapping, data modelling, and solution design activities supporting business and technical objectives
• Contribute to application architecture, maintainability, and design of scalable data solutions
• Design and support near real-time data pipelines and data-driven products
• Conduct quantitative data analysis to identify issues, assess impacts, and recommend solutions
• Collaborate with developers, test engineers, and cross-functional teams throughout delivery lifecycle
• Create and maintain high-quality requirements documentation including use cases and process descriptions
• Access and analyse complex, distributed datasets and perform statistical analysis where required
• Build strong stakeholder relationships and facilitate alignment across diverse teams and business domains
• Promote analytical excellence by challenging existing approaches, advocating best practices, and driving continuous improvement