Senior Data Analyst

Jit Team has an over-decade-long relationship with a leading financial group in the Nordic countries, employing over 770 experts and delivering more than 60 projects globally. The client is a major Norwegian financial services provider with a strong focus on modern technology, emphasizing Scandinavian culture that supports work-life balance, feedback culture, and an international work environment. Jit Team is a Polish company active for over 15 years, supporting educational and charitable initiatives locally.

• Strong analytical mindset with 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 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
• Ability to work independently and collaboratively
• Experience in relational database design, querying, and optimization
• Familiarity with Big Data technologies (e.g., Hadoop, Hive, Impala, pySpark, HQL) and data processing concepts
• Hands-on experience with JSON and AVRO data formats
• Understanding and experience with standardized data models (e.g., Canonical Data Model)
• Experience in defining and documenting business and technical requirements
• Knowledge of programming languages such as Python, R, or Java
• Experience with tools like Jira and Bitbucket for tracking and version control
• Background in finance or banking considered an advantage

• 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