Project Portfolio Analyst

About the role

Red Bull is looking for a Project Portfolio Analyst to turn data, technology and smart processes into better ways of working. You will connect people, data and technology to create greater transparency, efficiency and impact, working closely with stakeholders and IT to develop scalable solutions that make it easier to manage, prioritize and deliver projects.

Key responsibilities

• Own and continuously develop Red Bull's project and portfolio management tools with IT, including workflows, system structures, access concepts and user support.
• Work with Portfolio Managers, Project Managers, business stakeholders, IT and data teams to turn governance, process and reporting needs into scalable solutions.
• Design, build and maintain self-service portfolio reports, management dashboards, KPIs and role-based views.
• Define and maintain data standards, validation rules, reporting logic and monitoring routines for reliable project and portfolio data.
• Develop self-service automations, scripts, queries and integrations, and partner with IT on enterprise solutions.
• Support tool adoption through documentation, training and user support, and drive improvements to usability and scalability.

Required profile

• 5+ years of experience in PM tool administration, portfolio reporting, business intelligence, data analytics or a comparable technical business role.
• Bachelor's degree in Information Systems, Business Informatics, Data Analytics, Business Administration or a comparable field.
• Fluent English; German is an advantage.
• Proven ability to analyse complex business needs and turn them into scalable technical requirements and user-friendly solutions.

Required skills

• Project and portfolio management platforms, including workflows, permissions and reporting structures; Adobe Workfront and Jira experience desirable.
• Portfolio reporting, KPI design, data visualization and dashboard development, preferably with Power BI.
• Workflow automation and low-code solutions, preferably Power Automate, Microsoft 365, APIs or comparable technologies.
• Data modelling, data governance, validation logic and integration across systems, with a focus on data quality.
• Understanding of project, program and portfolio management processes, governance models and reporting requirements.