Paper Title
ROLE OF DATA SKILLS AND WORKFORCE UPSKILLING FOR THE EFFECTIVE USE OF DATA BY ORGANIZATIONS

Abstract
PROBLEM STATEMENT This study aims to bridge the gap between the data skills demanded by African banks and the current skill set of their employees. It focuses on identifying requisite skills and examining current organizational methods for skill development, considering the low data literacy rate in Africa compared to more developed regions. METHODS We conducted a small-scale survey (n=22)at Ecobank, a key player in the African banking sector with operations in 33 countries, to explore the methods employed for developing data skills and assess their perceived effectiveness among the workforce. Purposive sampling ensured a diverse representation of data literacy maturity among participants. RESULTS In the inquiry into the essential skills for data proficiency, the survey findings underscore that decision-making with data stands out as the most coveted skill, identified by 82% of respondents. Training programs (82%), certifications (50%) and on-the-job training (50%) are the primary initiatives the organization employs to upskill employees in data-related competencies and skills. Other notable initiatives included continuous learning (36%) and technology and tools 41%. 14% were satisfied with their organization's current data-related upskilling avenues whiles 41% of respondents were neutral. Despite all these avenues for upskilling, 64% of employees had not participated in formal data-related training in the past year. CONCLUSION Findings from this survey underscore the need for organizations, particularly in the African banking sector, to reconsider and adapt their strategies to upskilling, aiming for a more effective approach that goes beyond merely providing upskilling avenues or opportunities as survey results show this is insufficient in addressing the challenges in improving data literacy due to limited uptake. The insights derived from this study provide a foundation for further research and practical interventions to bridge the existing gap in data skills within the African banking sector and beyond. Keywords: Data analytics, Data Skills, Workforce Data Literacy, Upskilling,