Operations Analyst

Placements24; Stellenbosch Local Municipality; Hybrid; ZAR 420,000 - 540,000; Full time

Benefits offered by this job

Competitive salary

Annual performance bonus

Medical and retirement benefits

Professional development and training

Collaborative, data-driven environment

Job summary

Placements24 seeks an Operations Analyst in Paarl to optimize production and logistics through data analysis. You will collect data from multiple sources, build dashboards, and provide actionable insights to management to improve efficiency and reduce costs.

The role requires a quantitative mindset, strong Excel, SQL, and data-visualization skills, plus the ability to communicate findings clearly to operations teams and engineers, supporting continuous improvement initiatives.

Qualifications

• Bachelor's degree in Industrial Engineering, Business Analytics, Statistics or related quantitative field.
• 2+ years of experience in operations analysis or industrial engineering support role.
• Proficiency in Excel (advanced), SQL, and data visualization tools (Tableau/Power BI).
• Strong analytical and problem-solving skills with attention to detail.
• Good understanding of industrial operations and supply chain principles.
• Effective communication for reporting findings and recommendations.

Responsibilities

• Collect and analyze operational data from production, inventory, and logistics.
• Develop and maintain dashboards and reports to track KPIs.
• Identify trends, anomalies, and opportunities for process improvements and cost savings.
• Collaborate with operations managers and industrial engineers to translate data insights into recommendations.
• Conduct root cause analysis for operational issues and support corrective actions.
• Assist in forecasting, capacity planning, and resource allocation based on data analysis.

Skills

Data analysis

SQL

Excel (Advanced)

Data visualization

Tableau

Power BI

Education

Bachelor's degree in Industrial Engineering, Business Analytics, Statistics

Tools

Tableau

Power BI

SQL

Excel

Job description

About the Role

Our client is looking for a meticulous Operations Analyst to join their team in Paarl, contributing to the optimization of their industrial operations. This role focuses on gathering, analyzing, and interpreting data to identify trends, inefficiencies, and opportunities for improvement within production and logistical processes. You will be instrumental in developing reports and dashboards that provide actionable insights to management, driving data-informed decision-making. The ideal candidate possesses strong analytical skills, a keen eye for detail, and a solid understanding of industrial engineering principles. This position offers a significant opportunity to influence operational strategies and contribute to the company's growth through enhanced efficiency.

Key Responsibilities

• Collect and analyze operational data from various sources, including production, inventory, and logistics.


• Develop and maintain performance dashboards and reports to track key operational metrics (KPIs).


• Identify trends, anomalies, and opportunities for process improvements and cost savings.


• Collaborate with operations managers and industrial engineers to translate data insights into actionable recommendations.


• Conduct root cause analysis for operational issues and support the implementation of corrective actions.


• Assist in forecasting, capacity planning, and resource allocation based on data analysis.

Requirements

• Bachelor's degree in Industrial Engineering, Business Analytics, Statistics, or a related quantitative field.


• 2+ years of experience in an operations analysis or industrial engineering support role.


• Proficiency in data analysis tools such as Microsoft Excel (advanced), SQL, and data visualization software (e.g., Tableau, Power BI).


• Strong analytical and problem-solving skills with excellent attention to detail.


• Good understanding of industrial operations and supply chain principles.


• Effective communication skills for reporting findings and recommendations.

Benefits

• Competitive salary and annual performance bonus.


• Comprehensive medical and retirement benefits.


• Opportunities for professional development and training in data analytics.


• A collaborative and data-driven work environment.


• Work-life balance initiatives and paid time off.