• Conduct end-to-end business and data analysis, from understanding business needs to defining and validating analytical requirements.
• Gather, clarify, and document business, functional, and data requirements.
• Translate business needs into clear analytical specifications, data requirements, and use cases.
• Analyze and profile data to validate business processes, identify data gaps, and support analytical conclusions.
• Support the design and development of Data Warehouse structures, data flows, and analytical datasets.
• Work with ETL/ELT processes and contribute to improving data integration and transformation logic.
• Use SQL to analyze, query, validate, and reconcile data.
• Support the design of data models and ensure consistency between business requirements and technical implementation.
• Cooperate with development teams on the implementation of DWH and BI solutions.
• Build or support the development of reports, dashboards, and analytical models in Power BI.
• Perform testing and validation of delivered data solutions to ensure quality, accuracy, and compliance with requirements.
• Support incident and problem analysis related to data, DWH, and BI solutions.
• Maintain documentation of data logic, mappings, assumptions, and analytical solutions.
• Collaborate with international stakeholders and contribute to continuous improvement of analytical and DWH practices.

• Approximately 2–6 years of professional experience as a DWH Analyst, Data Analyst, BI Analyst, Business/Data Analyst, or in a similar data-focused role.
• Good understanding of business requirements analysis and the ability to translate business needs into data and analytical solutions.
• Practical experience with SQL for data analysis, querying databases, and data validation.
• Good understanding of Data Warehouse concepts and architecture.
• Knowledge of ETL/ELT processes and data integration principles.
• Working knowledge of data modeling and database design concepts.
• Experience working with analytical datasets and data quality validation.
• Experience with Power BI, including reports, dashboards, and semantic models.
• Ability to participate in stakeholder meetings, gather requirements, and clarify analytical needs.
• Experience preparing documentation, data mappings, analytical outputs, and insights.
• Ability to independently deliver small to medium-sized analytical tasks.
• Experience working in an Agile or similar delivery environment.
• Good communication skills and the ability to work effectively in an international, multicultural environment.
• English at minimum B2 level, with C1 preferred.
• A Master’s degree in a technical discipline or equivalent professional experience.

Nice to have

• Strong knowledge of Snowflake.
• Advanced knowledge of Power BI and/or Power Apps.
• Practical knowledge of Python.
• Knowledge of Artificial Intelligence methods.
• Experience with IT compliance, internal controls, or external audits, such as SOC or SOX.

• Participation in interesting and demanding projects.
• Flexible working hours.
• A great, non-corporate atmosphere.
• Possibility to work remote or hybrid (2 days per week from the office).
• Opportunities for development and promotion.
• Attractive package of benefits.