Data Analyst - Strategic Analytics & Governance Engineering (Brno Office, Czech Republic)

The Strategic Analytics & Governance Engineering (SAGE) team is seeking an adept analyst to join us as a Data Analyst in Brno, Czech Republic. In this role, you will have the opportunity to work cross-functionally with other analysts and stakeholders to gather business requirements to develop highly visual, interactive dashboard applications. You will have the opportunity to advise and influence cross-functional projects and programs, transform raw data into actionable dashboards, and drive business decisions for key stakeholders. To succeed in this role, you’ll need experience using EazyBI, Apache Superset, or Tableau, and be passionate about solving business problems with data. What you will do Work in cross-functional projects with leadership, program managers, data analysts, and other stakeholders to understand and achieve business priorities Elicit business and technical requirements from stakeholders and turn these into analytics reporting and dashboard solutions Promote a data fluent culture by participating in communities, and educating others in the field of analytics Translate abstract data into easily-digestible and highly-visual dashboard applications and executive-level report deliverables Collaborate with other analysts, data engineers, and data scientists to provide exceptional customer support to our internal stakeholders Build cross-functional relationships with business units to cultivate successful long-term partnerships What you will bring 2 years of relevant experience with a Bachelor’s degree AI-enabled analyst workflow: comfortable using AI tools responsibly to accelerate analysis, documentation, automation, and quality (with sound judgment on validation and limitations). Data storytelling stakeholder delivery: translate business questions into clear and repeatable analyses, dashboards, and recommendations for non-specialist audiences; strong written and verbal communication. BI SQL foundation: hands-on experience and comfort building dashboards in a BI tool (e.g., Tableau / Superset / EazyBI) and querying against large datasets (Snowflake experience preferred). Operating discipline: strong organization, prioritization, and time management; works effectively in cross-functional, global teams with minimal direction and adapts to changing priorities. Python for analysis, automation, and/or database-oriented scripting is a plus Knowledge and/or experience of agile processes and methodologies is a plus Process/systems thinking: improving repeatability and reducing manual efforts through the development and use of standards, templates, and automation is a plus About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40 countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity P ... (truncated, view full listing at source)