We are looking for a technology- and business-oriented team player with vision, who knows how to take raw data, break it down into its components, and translate it into business insights and stable systems. The role requires a unique combination of core BI and data development, together with the analytical capabilities of a business analyst who can work directly with clients, quickly learn their professional world, lead requirements-gathering and consulting processes, and proactively suggest metrics and insights – rather than simply receive technical work requests.
What You’ll Do
Requirements gathering, consulting, and client leadership: Gather business requirements, translate complex business needs into data architecture, provide professional consulting, initiate solutions, and confidently represent the professional perspective in front of different organizational levels, either on-site at the client or remotely. Advanced validation and analysis: Work with AI-based applications and systems, while carrying out thorough validation and quality assurance of system outputs and responses through complex SQL queries directly against the DWH and server. End-to-end development: Plan and develop Data Warehouses, from semantic models to advanced dashboards.
What You’ll Bring
Advanced SQL Server skills -mandatory: Ability to write complex queries and Stored Procedures, with a deep understanding of large and complex data structures. Advanced Power BI skills -mandatory: Expertise in proper model architecture, extensive and in-depth use of DAX, and adherence to leading industry best practices. Application-oriented UI/UX mindset -mandatory: Experience designing clean and functional dashboards with the look and feel of an advanced SaaS product. Data Architecture and DWH: Proven experience in the end-to-end planning, requirements definition, and modeling of Data Warehouses using STAR and SNOWFLAKE schemas. Development and integration tools: Experience developing with SSIS and a programming background in Python, including writing scripts for ETL, integrations, analysis, and automation. Working in the AI era: Familiarity and experience with code- and AI-based development environments. A critical requirement is the ability to work intelligently and responsibly with LLMs, without blindly relying on model outputs, while applying professional judgment, cross-checking data, and performing manual validation.
Advantages
Experience working with Microsoft Fabric, including Lakehouse, Data Warehouse, Pipelines, and Notebooks Familiarity with cloud environments, particularly Azure Development experience with Qlik Sense or QlikView Experience with APIs, integrations, and REST systems
Experience with Git and version control
Familiarity with Power Automate and Power Platform