Senior Data Analyst

Jit Team is a Polish company employing over 770 experienced experts, offering developmental projects and a wide range of benefits. They have a long-term partnership with a leading financial group in the Nordic countries, engaging over 200 personnel in more than 60 projects for this Norwegian financial services provider with a global presence. The client emphasizes Scandinavian culture, work-life balance, and international teams with English language exposure.

• 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, able 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 such as Hadoop, Hive, Impala, pySpark, HQL
• Hands-on experience with JSON and AVRO data formats
• Understanding and experience with standardized data models like Canonical Data Model
• Experience 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
• Finance or banking background is a plus

• 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