Data-Driven Operations Analyst (Bloemfontein)

Placements24; Bloemfontein; Hybrid; ZAR 320,000 - 520,000; Full time

Benefits offered by this job

Salary bonus

Health insurance

Retirement plan

Analytics training

Collaborative team

Job summary

Placements24 in Bloemfontein is seeking an Operations Analyst with a background in Industrial Engineering to analyze operational data, identify trends, and develop recommendations to improve efficiency, reduce costs, and enhance productivity across various business functions.

You will work closely with operational managers to translate data into actionable insights and support forecasting and capacity planning initiatives in a dynamic business environment.

Qualifications

• Bachelor's degree in an quantitative field (Industrial Engineering, Statistics, Economics).
• 1–3 years experience in data/operations analysis or similar role.
• Proficiency in Excel (advanced), SQL, and BI tools (Tableau/Power BI).
• Strong analytical, problem-solving and attention to detail.

Responsibilities

• Collect, analyze, and interpret operational data to identify performance trends and areas for improvement.
• Develop reports and dashboards to visualize KPIs for management.
• Conduct root cause analysis for operational issues and propose data-driven solutions.
• Assist in development and implementation of process improvements and workflow optimizations.
• Support forecasting and capacity planning based on data analysis.
• Collaborate with departments to ensure data accuracy for Bloemfontein operations.

Education

Bachelor's degree in Industrial Engineering, Statistics, Economics, or related quantitative field

Tools

Excel

SQL

Tableau

Power BI

Job description

Placements24 in Bloemfontein is seeking an Operations Analyst with a background in Industrial Engineering to analyze operational data, identify trends, and develop recommendations to improve efficiency, reduce costs, and enhance productivity across various business functions.

You will work closely with operational managers to translate data into actionable insights and support forecasting and capacity planning initiatives in a dynamic business environment.