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 work

Education and Experience

• Bachelor’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 analytics
• Experience 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 methods
• Must have skills
• Expert Progamming skills (SAS, R or SQL) Strong problem solving, quantitative and analytical abilities. Analytical Ability to scope, plan, manage, monitor, and evaluate data science/analytics projects. • Strong knowledge of Excel, Power Point, databases

• 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
• Completing in-depth analysis for key insights into business problems
• 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
• 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
• Leads and develops a team of data and analytics professionals
• Inspires and motivates the team to meet deadlines and deliver high-quality work

• Microsoft Power Platform: Excel, Power BI, Power Automate, Power Apps, and SharePoint
• Programming and querying: Python and SQL
• AI tools
• 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, databases

• Bachelor’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 analytics
• Experience 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 methods