Senior IT Analyst (Data Domain)

Quick Facts

Hybrid work (2/3 days per week from the office) from Gdańsk / Gdynia / Warszawa / Łódź.

Description

You will be involved in a financial project focused on building and enhancing data-intensive solutions that support critical business processes within a complex banking environment. The initiative aims to deliver scalable, near real-time data products while improving data accessibility, quality, and decision-making capabilities across the organisation.

You will work closely with business and technology stakeholders to translate business needs into robust data and application solutions. The project also embraces AI-driven ways of working, leveraging modern technologies to accelerate delivery and increase automation.

Responsibilities you'll have

• Elicit and analyse functional and non-functional requirements by collaborating with a wide range of 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 the 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 effective solutions
• Collaborate with developers, test engineers, and cross-functional teams throughout the 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

Requirements

• 5+ years of experience in Data Analysis, Business Analysis, IT Analysis, Data Engineering, or similar analytical roles
• Proven experience designing data-intensive solutions within 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, with the ability to drive adoption of new ways of working
• 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 with a strong focus on enabling data-driven decision-making
• Strong stakeholder management, relationship-building, and facilitation skills

Benefits

• Flexible work organization
• International work environment and daily opportunity to use English
• Scandinavian organizational culture supporting work-life balance
• Time for additional training (financed by Jit)
• Integration meetings via the Jit community