Analytics Lead at Deloitte Consulting

Job description

This position is responsible for supporting the innovation agenda and leading the development and management of customer insights, data and analytics across the Group.

Key Responsibilities

• Define and execute the Data & Analytics strategy in alignment with business needs, stakeholder requirements and business strategy;
• Provide deep insights on market needs, performance and structure and leverage data insights to build models and communicate actionable learnings throughout the organisation;
• Leverage analytics and process improvement methods to provide a data-driven approach to improvements, efficiency, revenue and customer experience;
• Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to facilitate informed decisions;
• Measure, analyse and optimize the performance of new designs and interactions to align with business requirements;
• Lead the development of analytics capabilities within the Group by driving overall organizational awareness and capabilities related to AI;
• Determine meaningful data trends, relationships between variables and formulate predictive insights;
• Identify and develop appropriate metrics, tools and processes to drive customer delight and loyalty;
• Maintain inventory of current data including reports and business intelligent tools such as Dashboards and Scorecards; and
• Create and maintain insightful automated reports and dashboards utilizing typical data quality functions.

Person Specifications

The ideal candidate must have a Masters’ degree in any of the following disciplines; Mathematics, Actuarial Science, Statistics, Engineering, Data Science, Computer science, Economics or a related field from a recognised University. S/He must have over ten (10) years’ experience in analytics, five (5) of which must have been gained in a senior role in a client facing environment in telecommunication or financial services industry. The successful candidate must have been involved in leading cross-functional implementation projects for data mining, warehousing and governance in information architecture design that is scalable and adaptable to business needs.