Data and Analytics Lead (Production)

Job Purpose:The D&A Lead (Siavonga) is responsible for overseeing the quality and uptime of existing D&A production reports, managing the workflow of the D&A Data Clerks in Siavonga, leading ad hoc projects to build data visibility and systems in Production operational teams, and completing in-depth analysis for key insights into business problems. Data Analysis·       Analyses key business problems using authoritative, source-of-truth datasets from across the organisation.·       Evaluates the reliability and quality of operational datasets, identifying and prioritising areas for improvement.·       Reviews monthly analyses produced by Data & Analytics team members, providing timely, constructive, and supportive feedback.·       Conducts in-depth statistical analysis using tools such as Excel and SQL.Project Management·       Oversees both short- and long-term data and analytics projects from inception through to delivery.·       Introduces efficient and innovative approaches to problem-solving, whether by adopting new data tools or by using existing ones more effectively.·       Manages external developer teams to build software solutions that meet the required standards.Tools and Technical Proficiency·       Microsoft Power Platform: Excel, Power BI, Power Automate, Power Apps, and SharePoint.·       Programming and querying: Python and SQL.·       Confident working with AI tools to improve productivity and insight.Team Management·       Leads and develops a team of data and analytics professionals.Inspires and motivates the team to meet deadlines and deliver high-quality workEducation and ExperienceBachelor’s degree in Computer Science, Data Analytics, Economics, Mathematics, or another related field 3 years’ work experience, some of which relate to database management, data analysis, or analyticsExperience conducting employee performance reviews and giving employee feedback.Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.Familiar with econometric analysis methodsSkills-Expert Progamming skills (SAS, R or SQL)-Strong problem solving, quantitative and analytical abilities.-Ability to scope, plan, manage, monitor, and evaluate data science/analytics projects.-Strong knowledge of Excel, Power Point and database