• Bachelor's degree or above in Data Science, Computer Science, Business Analytics, Management Information System, or a related discipline.
• Significant relevant experience in data and analytics, technology consulting, or digital transformation, with a strong track record of leading complex client engagements.
• Demonstrated experience in data platform design, business intelligence, analytics delivery, and stakeholder management at senior levels.
• Strong understanding of modern data architectures, reporting and visualization tools, data governance principles, and analytics use cases across business functions.
• Strong leadership, team development, communication, and commercial skills, with the ability to manage competing priorities in a consulting environment.
• Professional, proactive, and client-focused, with a commitment to quality, collaboration, and continuous improvement.
• Hands-on familiarity with leading data and analytics technologies such as Azure, Microsoft Fabric, Power BI, Databricks, Snowflake, SQL, Python, or equivalent platforms is an advantage.
• Relevant professional certifications are preferred, such as Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Power BI
Data Analyst Associate, Databricks certifications, or equivalent cloud/data credentials.
• Additional certifications in project delivery, architecture, or governance-such as PMP, PRINCE2, DAMA, or other relevant credentials - would be beneficial.