Senior Data Analyst

Salary: 900–1200 PLN/day on B2B

Work model: Hybrid from Gdynia / Gdańsk, with 2–3 days per week from the office

Why choose this offer?

• Flexible work organization
• International work environment with daily use of English
• Scandinavian organizational culture supporting work-life balance
• Time for additional training financed by Jit
• Regular integration meetings

Project

You will be involved in a financial project focused on delivering data-driven solutions that support business decision-making and system development. In this role, you will perform IT and investigative data analysis, contribute to system design, and develop data models to meet both functional and non-functional requirements.

You will collaborate with multiple stakeholders, acting as a bridge between business and IT teams to ensure alignment, clarity, and transparency of requirements. The position also involves building a deep understanding of business processes and data models, ensuring that data solutions effectively support business needs. Working in an agile, cross-functional environment, you will actively contribute to continuous improvement and high-quality delivery of scalable solutions.

Responsibilities

• Perform IT analysis, investigative data analysis, and data modelling to support development teams
• Drive and facilitate functional and non-functional requirements across multiple stakeholders
• Design sustainable, scalable, and value-adding solutions aligned with business needs
• Act as a bridge between business and IT teams, ensuring transparency and clarity of requirements
• Build understanding of business processes and translate them into technical and data solutions
• Analyze and validate data models to ensure they meet business requirements and support data consumption
• Collaborate closely with developers, architects, and analysts in an agile environment
• Contribute to continuous improvement of data solutions and analytical processes

Expected competences and knowledge

• Strong analytical mindset with a passion for data analysis, problem solving, and requirements elicitation
• Excellent interpersonal and communication skills, with very good command of English
• Solid business and technical understanding, with the ability to translate needs into actionable solutions
• Experience working in agile environments and distributed, cross-cultural teams
• Proactive, structured, detail-oriented, and quality-driven approach to work
• Ability to work both independently and collaboratively as part of a team
• Experience in relational database design, querying, and optimization
• Familiarity with Big Data technologies, including Hadoop, Hive, Impala, pySpark, and HQL, and data processing concepts
• Hands-on experience with JSON and AVRO data formats
• Understanding and experience working with standardized data models, such as Canonical Data Model
• Experience in defining and documenting business and technical requirements
• Knowledge of programming languages such as Python, R, or Java
• Experience with Jira and Bitbucket for tracking and version control
• Background in finance or banking is an advantage

Technologies

• Relational databases: design, querying, and optimization
• Big Data platforms and tools: Hadoop, Hive, Impala, pySpark, HQL
• Data formats: JSON, AVRO
• Canonical Data Models and standardized data modelling approaches
• Programming languages: Python, R, Java
• Tools for data processing, analysis, and optimization
• Jira for task tracking and project management
• Bitbucket for version control and collaboration
• Agile frameworks and tools supporting cross-functional team delivery