Data Analyst

Camino Recruit; Stellenbosch; On-site; ZAR 300 000 - 450 000; Full time

Job summary

A recruitment agency is seeking a passionate Data Analyst to join a team in Stellenbosch. The role involves developing data infrastructure and business intelligence tools to facilitate real-time decision-making across various operational areas. Candidates should have a Bachelor's degree and 1–3 years of experience in data analytics, proficiency in R programming, and strong analytical skills. This position provides an opportunity to contribute to continuous improvement in a collaborative environment.

Qualifications

• 1–3 years' experience in data analytics or BI infrastructure.
• Exposure to software, Agri-tech, or logistics environments is preferred.
• Knowledge of data documentation standards and version control practices.

Responsibilities

• Build and maintain reliable data systems and pipelines.
• Create clear, standardized dashboards for decision-making.
• Ensure data accuracy and quickly resolve issues.
• Support cross-functional projects with data insights.
• Work closely with users to deliver relevant outputs.
• Adopt new tools and connect data users across teams.
• Ensure data security and compliance.
• Make data tools easy to use.
• Keep documentation clear and audit-ready.

Skills

Analytical skills

Attention to detail

Problem-solving

Data visualization

Communication skills

Education

Bachelor's degree in Data Science, Industrial Engineering, Computer Science, or a related field

Tools

R programming

Microsoft Excel

Power BI

Tableau

Job description

Introduction

Our client is 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: Make data tools easy to use.
9. Data Documentation and Audit Readiness: Keep documentation clear and audit‑ready.

Desired Experience & Qualification

• Bachelor's degree in 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.
• Ability to develop and manage data pipelines, and translate data into operational KPIs.
• 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 in 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.

Interested?