On-Site Durban Operations Data Analyst | Drive Efficiency

Placements24; Durban; On-site; ZAR 320,000 - 520,000; Full time

Job summary

Placements24 is seeking an analytical Operations Analyst in Durban to dissect operational data, identify trends, and provide data-driven recommendations. The role emphasizes collaboration with multiple departments and delivering clear insights to improve efficiency and productivity on-site.

The ideal candidate will have a strong background in industrial engineering or related analytics, with 3+ years of experience and proficiency in SQL, Python/R, Tableau, and Power BI.

Qualifications

• Bachelor's degree in Industrial Engineering, Operations Research, Statistics, Business Analytics, or a related field.
• Minimum of 3 years of experience in an analytical role, preferably within operations or industrial engineering.
• Proficiency in data analysis and visualization tools such as SQL, Python/R, Tableau, or Power BI.
• Strong understanding of statistical methods and their application to business problems.
• Excellent problem-solving and critical thinking abilities.
• Strong communication skills, able to present complex findings clearly to non-technical audiences in Durban.

Responsibilities

• Collect, interpret, and analyze large datasets related to production, logistics, and operational performance.
• Develop and maintain dashboards and reports to track KPIs and operational metrics.
• Identify trends, patterns, and anomalies in operational data to pinpoint areas for enhancement and cost savings.
• Provide data-backed recommendations to management for process improvements, resource allocation, and strategic decision-making.
• Collaborate with operational teams to implement recommended changes and monitor their effectiveness.
• Support the development and refinement of operational strategies and business plans.

Skills

SQL

Python/R

Tableau

Power BI

Education

Bachelor's degree

Job description

Placements24 is seeking an analytical Operations Analyst in Durban to dissect operational data, identify trends, and provide data-driven recommendations. The role emphasizes collaboration with multiple departments and delivering clear insights to improve efficiency and productivity on-site.

The ideal candidate will have a strong background in industrial engineering or related analytics, with 3+ years of experience and proficiency in SQL, Python/R, Tableau, and Power BI.