Power BI Analyst

O projekcie: 💻 Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains. With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management. By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society. For our Client from banking industry we are looking for Regular Power BI Analyst - 3 days at the office We offer: - B2B agreement  - Transparent working conditions with both Ework and the client  - Current support during our cooperation  - Possibility to work in an international environment  - Collaborative environment in Swedish organizational culture  - Private medical care  - Life insurance  - Multisport  - Teambuilding events  Wymagane umiejętności Data Modelling Power BI DAX Business Analysis Wymagania: Must-haves: - Proven Power BI development experience (power query, ETL processes, data modelling, DAX etc.)  - Experience in gathering requirements and managing stakeholder expectations  - Excellent communication skills and a consultative mindset  - Experience working with diverse data sources and business users  - Experience using JIRA  - Experience from working with agile methods  - Experience from managing large data volumes in Excel Codzienne zadania: - Business Intelligence Analyst with a strong technical background and business mindset who can build a bridge between complex business questions and actionable insights through Power BI. - You’ll design, build, and maintain Power BI reports and dashboards while working closely with stakeholders to understand requirements, translate needs into data solutions, and guide decision-making.