Data Analyst

Data Analyst

Introduction

We are seeking a passionate and detail-oriented Data Analyst to design, build, and maintain data infrastructure and business intelligence tools that support real-time decision-making across key operational areas such as Quality, Logistics,  Finance, and KPI Monitoring. The role acts as a vital link between data systems and business teams, ensuring accurate, accessible, and actionable insights. The ideal candidate is naturally alert to data gaps or inefficiencies and applies strong problem-solving skills to support continuous improvement in a fast-paced, collaborative environment. 

Duties & Responsibilities

1. Data Infrastructure Development and Maintenance: Build and maintain reliable data systems and pipelines.

2. BI Visualization and Reporting: Create clear, standardised dashboards for decision-making. 

3. Data Integrity and Troubleshooting: Ensure data accuracy and quickly resolve issues. 

4. Project Stream Collaboration: Support cross-functional projects with data insights. 

5. Stakeholder Engagement: Work closely with users to deliver relevant outputs. 

6. Continuous Learning and Innovation: Adopt new tools and connect data users across teams. 

7. System and Data Governance: Ensure data security and compliance. 

8. User-Centric Data Product Thinking: Making data tools easy to use. 

9. Data Documentation and Audit Readiness: Keep documentation clear and audit-ready.  

Desired Experience & Qualification

Qualification and Experience

• Bachelor’s degree in either Data Science, Industrial Engineering, Computer Science, or a related field.
• 1–3 years’ experience in data analytics or BI infrastructure.
• Exposure to software, Agri-tech, or logistics environments is preferred.
• Proficient in R programming (required). Knowledge of an additional programming language, such as Python, is advantageous.
• Skilled in Microsoft Excel and Power BI/Tableau.
• Understanding of packhouse systems, agricultural workflows, or logistics operations is an advantage.
• Knowledge of data documentation standards and version control practices. 
• Familiarity with API's and integrating cloud or hybrid systems. 
• Experienced in developing and maintaining ETL pipelines and data workflows. 
• Understanding of data compliance requirements and frameworks (e.g. POPIA, access control). 

Skills and Competencies

• Strong analytical skills, attention to detail, and a structured approach to problem-solving.
• Able to develop and manage data pipelines, and translate data into operational KPI's.
• Skilled in visualizing data clearly for users through dashboards and reports. 
• Excellent communication skills (written and verbal). 
• Collaborates well across teams and functions; confident in stakeholder engagement. 
• Agile, curious,  pro-active, adaptable, and eager to learn a a dynamic, fast-changing environment. 
• Self-motivated, dependable, and committed to continuous improvement. 
• Comfortable with both structured and unstructured data and spotting trends or risks. 
• Willing to support users with informal training or dashboard guidance when needed.