Senior IT/Data Analyst

Requirements:Minimum 5 years of experience in IT analysis, data analysis, business analysis, or a similar role within complex data-driven environmentsStrong hands-on expertise in SQL, including advanced querying, data analysis, query optimisation, and working with complex relational database structuresStrong experience with Big Data platforms and technologies, including Hadoop, Hive, Impala, PySpark, and/or HQLSolid hands-on experience with ETL/data processing, including loading, transforming, retrieving, validating, and analysing dataStrong experience in data testing, data validation, data quality checks, and verifying whether data structures and outputs meet business requirementsStrong Data Analyst skillset, including investigative data analysis, data modelling, requirements analysis, and translating data insights into clear business and technical requirementsGood understanding of Data Science concepts and ability to apply them in data analysis, problem solving, and data-driven solution designExperience working with JSON data format and standardised data models such as Canonical Data ModelExperience in defining, analysing, refining, and documenting business and technical requirements in a clear and structured wayExperience using Jira and Bitbucket for project tracking and version controlStrong communication skills in English, with the ability to work effectively with business stakeholders, developers, architects, and IT analystsExperience working in agile, international, cross-functional teamsProactive, structured, detail-oriented, and quality-driven approach, with the ability to work both independently and as part of a teamNice to have:Finance background and/or banking experienceExperience with AVRO data formatDBA-related experience with DB2 and Oracle databasesPractical experience with Python and/or Java Offer:Private medical careCo-financing for the sports cardConstant support of dedicated consultantEmployee referral program ,[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: SQL, Hadoop, Hive, Impala, PySpark, HQL, ETL, BigData, AVRO, DB2, Oracle database, Python, Java