Head of Data and Analytics

We’re looking for a visionary Head of Data and Analytics to lead our data strategy, drive actionable insights, and champion data-driven decision-making across the business.At iKhokha, we’re redefining how SMEs thrive through innovation — and in this role, you’ll harness the power of data to help accelerate entrepreneurship and unlock growth for small businesses across South Africa.So, what will you do? As the Head of Data and Analytics, you will be responsible for leading and managing the data and analytics function within our organization.Your primary objective will be to drive data-driven decision-making, develop data strategies, and provide actionable insights to support business growth and optimization.You will lead a team of Data Professionals, collaborating with cross-functional stakeholders to leverage data and analytics capabilities.In addition to the above, you will: Develop and implement a comprehensive data strategy aligned with business goals.Establish data governance frameworks and policies to ensure data quality, privacy, and compliance.Collaborate with Engineering, Product, Growth, Finance and Retention Teams to optimize data acquisition, storage, and integration processes.Oversee the analysis and interpretation of complex data sets to derive actionable insights.Collaborate with business stakeholders to identify data-driven opportunities for optimization and growth.Develop and deliver reports, dashboards, and visualizations to communicate insights effectively.Ensure data-driven decision-making and provide recommendations to key stakeholders.Assess and optimize data infrastructure, including data storage, processing, and retrieval systems.Collaborate with  Engineering, Product, Growth, Finance and Retention Teams to ensure the availability and scalability of data platforms and tools.Stay updated with emerging data technologies and trends, making recommendations for adoption.Build and lead a high-performing team of Data Professionals.Provide mentorship, guidance, and professional development opportunities to team members.Foster a collaborative and inclusive team culture, promoting knowledge sharing and innovation.Collaborate with cross-functional teams to integrate data and analytics into business processes.