Senior Data Analyst - Real-Time Banking Data Pipelines

Lodzplus; Łódź; Hybrid; PLN 140,000 - 230,000; Full time

Job summary

Jit Team is partnering with a leading Nordic financial group to deliver data-intensive solutions within a complex banking environment. The role focuses on building scalable, near real-time data products and improving data accessibility, quality, and decision-making across the organisation.

You will collaborate with business and technology stakeholders, translate requirements into robust data and application solutions, and contribute to modern, AI-driven delivery approaches across international

Qualifications

• Experience delivering data-intensive solutions in banking or financial services.
• Ability to translate business needs into data architectures and pipelines.
• Familiarity with near real-time data processing and analytics.

Responsibilities

• Elicit both functional and non-functional requirements with stakeholders.
• Document and translate requirements into implementation specs.
• Perform data mapping, modelling and design scalable data solutions.
• Contribute to data architecture, maintainability and scalable pipelines.
• Design and support near real-time data pipelines and data products.
• Analyze data to identify issues and recommend solutions.
• Collaborate with developers, QA and cross-functional teams.
• Create high-quality requirements docs, use cases, process descriptions.
• Access and analyze complex distributed datasets; perform statistical analysis.
• Build relationships with stakeholders and promote analytical excellence.

Skills

Data modelling

Data mapping

Statistical analysis

Requirements elicitation

Stakeholder management

Analytical thinking

Job description

Jit Team is partnering with a leading Nordic financial group to deliver data-intensive solutions within a complex banking environment. The role focuses on building scalable, near real-time data products and improving data accessibility, quality, and decision-making across the organisation.

You will collaborate with business and technology stakeholders, translate requirements into robust data and application solutions, and contribute to modern, AI-driven delivery approaches across international