Ensure all BI outputs are developed in line with central governance standards, the BI visual style guide, and documentation requirements.
Assist with the rollout of central BI products to local markets, supporting the preparation of enablement materials, demos, and guidance documentation.
Work closely with Analytics Engineers and senior BI Developers to understand how upstream data models and datasets are used within BI product development.
Contribute to the central reusable asset catalogue, ensuring outputs are documented and accessible for adaptation by local teams.
Participate in peer reviews of BI outputs, incorporating feedback constructively to develop technical skills and maintain quality standards.
Monitor product adoption and usage following launch, gathering feedback from stakeholders and escalating improvement suggestions to senior team members.
Promote the Intelligent Data Platform as the single source of truth, ensuring all development work sources data through the platform.
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.
Develop awareness of AI and agentic capabilities within the Microsoft ecosystem, building foundational knowledge that supports the team's evolving development approach.
Requirements
Bachelor's or Master's degree in Business, Computer Science, Data Analytics, Economics, or a related discipline.
Some practical experience with BI development, data visualisation, or analytics through employment, internships, or academic projects.
Foundational knowledge of Power BI or a comparable data visualisation tool; hands-on experience is an advantage.
Basic understanding of data modelling concepts and an awareness of how semantic models and datasets underpin BI product development.
Exposure to enterprise data platforms such as Microsoft Fabric, Databricks, or Azure Synapse is desirable.
Familiarity with the broader Microsoft Power Platform, including Power Apps and Power Automate, is an advantage.
An interest in and awareness of AI and agentic capabilities in a BI or analytics context.
Strong attention to detail and a commitment to delivering polished, well-documented outputs.
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.
Good communication skills, with the ability to engage clearly with stakeholders and document work accurately.
Microsoft Power BI Data Analyst Associate (PL-300) certification is desirable; a commitment to working toward it is expected.
Fluent in English; additional European languages are an advantage.
Cushman & Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor’s attention once they have made contact.
INCO: “Cushman & Wakefield”
