Senior Data Analyst

Jit Team is a Polish IT company employing over 770 experienced experts, specializing in delivering innovative IT solutions through highly specialized and efficient teams. They maintain a decade-long partnership with the leading financial group in the Nordic countries, delivering over 60 projects with more than 200 personnel engaged for this Norwegian financial services provider focused on modern technology and international teams. The customer culture emphasizes work-life balance and feedback, reflecting Scandinavian organizational values.

• 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 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 independently and as part of a team
• 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 using Jira and Bitbucket for tracking and version control
• Background in finance or banking 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