Lead Data Analyst
4 semanas atrás
Client: The client is a premier institution offering world-class postgraduate business education, including MBA, Executive MBA, and specialised finance and management programs. Its mission is to transform global business practices. The client is globally recognized for its rigorous academics, exceptional faculty, and cutting-edge research. It consistently ranks among the world’s top business schools, securing high positions in global MBA rankings. The client fosters leadership and innovation, equipping students for impactful careers in the international business landscape.
Project overview: The Client recently completed their Data & AI Strategy and Roadmap, establishing a foundation for a data-driven future. The assessment phase reviewed the current state of Data and AI, analyzing technology, processes, resources, and structure, and provided strategic recommendations aligned with the School’s 5-year transformation plan. Building on this, the discovery phase focused on data governance, use cases, business drivers, service offerings, technology, and roles, delivering further strategic insights. With this groundwork complete, The Client is now entering the delivery phase, which includes implementing a Data Platform, a first use case, and establishing Data Governance roles, processes, and technologies.
Technology stack: Databricks, MS Stack
- Responsibilities: Collaborate with stakeholders to understand and translate reporting and analytics requirements into actionable solutions
- Define and implement best practices, standards, and guidelines for data analysis and visualization on the data platform
- Develop and maintain shared data models and centralized reporting frameworks to support data-driven decision-making
- Contribute to data quality improvement initiatives, ensuring accuracy and reliability of the data platform
- 5+ years of experience with Data analysis and visualization
- Proven experience leading and mentoring technical teams
- Experience with stakeholder management and requirements gathering
- Deep understanding of Data governance and quality assurance
- Practical experience with Databricks and Microsoft (MS) Stack (Excel, Power BI, SQL Server)
Nice to have: Experience with enterprise data platforms and creating scalable data models is a plus.
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