Senior IT/Data Analyst

Responsibilities: Perform IT analysis, investigative data analysis, system design, and data modelling to support development teams Lead or facilitate functional and non-functional requirements gathering, analysis, and refinement across multiple stakeholders Translate business needs and technical requirements into clear, structured, and understandable documentation Ensure alignment, transparency, and common understanding of requirements between IT and business teams Build a strong contextual understanding of business processes, as well as functional and technical knowledge of existing solutions Analyse data models and assess how data is consumed by development teams Verify whether data structures, data flows, and available data meet business requirements Support ETL/data processing, data validation, and data testing activities from an analytical perspective Collaborate closely with developers, architects, IT analysts, and business stakeholders Support agile delivery in international, cross-functional, and virtual teams Contribute to the design of sustainable, scalable, and value-adding data solutions Requirements: Minimum 5 years of experience in IT analysis, data analysis, business analysis, or a similar role within complex data-driven environments Strong hands-on expertise in SQL, including advanced querying, data analysis, query optimisation, and working with complex relational database structures Strong experience with Big Data platforms and technologies, including Hadoop, Hive, Impala, PySpark, and/or HQL Solid hands-on experience with ETL/data processing, including loading, transforming, retrieving, validating, and analysing data Strong experience in data testing, data validation, data quality checks, and verifying whether data structures and outputs meet business requirements Strong Data Analyst skillset, including investigative data analysis, data modelling, requirements analysis, and translating data insights into clear business and technical requirements Good understanding of Data Science concepts and ability to apply them in data analysis, problem solving, and data-driven solution design Experience working with JSON data format and standardised data models such as Canonical Data Model Experience in defining, analysing, refining, and documenting business and technical requirements in a clear and structured way Experience using Jira and Bitbucket for project tracking and version control Strong communication skills in English, with the ability to work effectively with business stakeholders, developers, architects, and IT analysts Experience working in agile, international, cross-functional teams Proactive, structured, detail-oriented, and quality-driven approach, with the ability to work both independently and as part of a team Nice to have: Finance background and/or banking experience Experience with AVRO data format DBA-related experience with DB2 and Oracle databases Practical experience with Python and/or Java Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program