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 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

Skills

-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