Senior IT Analyst (Data Domain)

Jit Team; Łódź; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Flexible work organization

International work environment

Scandinavian organizational culture

Jit community integration meetings

Job summary

Jit Team Poland is seeking an experienced data professional to join a banking-focused project. You will analyze requirements, design data-intensive solutions, and collaborate with business and technology stakeholders to deliver near real-time data pipelines.

This role offers a hybrid work model (2/3 days in the office in Łódź/Gdańsk/Gdynia/Warszawa), strong emphasis on AI-driven practices, and a vibrant international team with regular knowledge sharing.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data Analysis

Business Analysis

Data Engineering

Stakeholder Management

AI Solutions

SQL

Domain-Driven Design

Event Sourcing

Microservices

Data Products

Tools

Snowflake

dbt

SQL (Snowflake & MS SQL Server)

AI solutions (Copilot, LLMs, Agentic AI)

Event-Driven Architectures

Modern Data Platforms

Job description

Work model: hybrid from Gdańsk / Gdynia / Warszawa / Łódż (2/3 days per week from the office)

Why choose this offer?

• You can expect a flexible work organization
• The international work environment will give you the opportunity to interact with the English language on a daily basis
• Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit)
• The Jit community will bring you a nice time during regular integration meetings

Project

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

Expected competences and knowledge

• 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

Technologies you'll work with

• Snowflake
• dbt
• SQL (Snowflake & MS SQL Server)
• AI solutions (Copilot, LLMs, Agentic AI)
• Event-Driven and Microservices Architectures
• Modern Data Platforms and Data Products

Client - why choose this particular client from the Jit portfolio?

Jit Team has had an over-decade-long relationship with the leading financial group in the Nordic countries, and we are privileged to be our client's premier partner in Poland. At present, over 200 Jit personnel are engaged in the completion of more than 60 projects for this Norwegian major provider of financial services with a global presence and a strong focus on modern technology. Our customer's work atmosphere is epitomized by the Scandinavian culture, which is conducive to people who place emphasis on work-life balance and feedback culture. Furthermore, all projects are executed in international teams, giving constant exposure to the English language.