Director of Data and Analytics

4 weeks ago


Nairobi, Nairobi Area, Kenya Corporate Staffing Services Full time

World Vision seeks a seasoned analytics professional to lead the development and implementation of its analytics strategy, fostering a data-driven culture and driving data-informed decision-making across the organization. The ideal candidate will have a strong background in Microsoft technologies, experience in leading analytics initiatives, and expertise in business intelligence tools. Key responsibilities include developing and implementing analytics strategies, leading the setup and optimization of the analytics platform, establishing best practices for data analytics, and collaborating with business units to drive value and enable data-driven decision-making. The successful candidate will have excellent communication and interpersonal skills, be able to lead through influence, and have a passion for using data and analytics to drive positive social impact. A Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required, and a Master's degree is preferred. The ideal candidate will have at least 8 years of experience in data analytics roles, with at least 5 years in a leadership position, and a strong background in analytics platform development, semantic modeling, and data warehousing. Expertise in business intelligence tools, particularly Microsoft Power BI, and experience with advanced analytics techniques are also highly valued. The Director of Data and Analytics will provide mentorship and technical leadership to analytics professionals, foster skill development, and promote best practices. They will also stay abreast of emerging analytics technologies and industry trends, recommending and implementing innovative solutions to enhance World Vision's analytical capabilities. A key performance indicator (KPI) framework will be developed to measure the effectiveness of analytics initiatives, and regular reports will be presented to senior leadership on the impact and ROI of data-driven projects.



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