DWH Analyst

We are looking for a DWH Analyst to join an international project focused on developing and improving global Business Intelligence and Data Warehouse solutions.

In this role, you will bridge the gap between business requirements and data solutions by analyzing business needs, defining analytical and data requirements, working with data structures and flows, and supporting the design and quality of DWH and BI solutions.

• 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.

We reserve the right to contact the selected candidates.