Lead - Advanced Analytics

• Lead the development and execution of a company-wide analytics strategy aligned with business priorities.
• Drive the creation of predictive and real-time insights to support proactive decision-making.
• Partner with business units to translate challenges into analytics solutions and support strategic planning.
• Implement and promote self-service analytics platforms to enable easy access to trusted data across the organisation.
• Monitor and report on the business value generated from analytics initiatives, ensuring measurable impact.
• Foster a culture of data-driven decision-making by building analytics capabilities and literacy across teams.
• Develop and maintain governance standards and analytics operating models to support enterprise-wide analytics delivery.

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering or related field.
• Master's Degree in Data Science, Analytics, Artificial Intelligence, Business Analytics, MBA or related discipline is preferred.
• At least 10 years of experience in Analytics, Business Intelligence, Data Science or Commercial Insights roles.
• Minimum of 5 years in leadership roles managing enterprise or advanced analytics functions.
• Proven experience in building analytics capabilities at an enterprise scale.
• Strong knowledge of telecommunications, financial services or digital ecosystem business models.
• Experience leading analytics transformation and self-service analytics projects.
• Advanced skills in statistical modelling, predictive analytics and machine learning.
• Proficiency with data visualization tools such as Power BI, Tableau, Qlik, or Looker.
• Strong SQL skills and familiarity with data analytics platforms.
• Experience with cloud data platforms and modern analytics architectures.
• Good commercial understanding with the skill to convert data insights into business results.
• Excellent skills in managing stakeholders and communicating with executives.
• Experience leading cross-functional teams within agile working environments.
• Good knowledge of data governance, data quality and analytics operating frameworks.

Apply through the employer's official contact by submitting your resume. The closing date for applications is Wednesday, 18 November 2026.