Hybrid Operations & Analytics Analyst

Placements24

Sandton

Hybrid

ZAR 700,000 - 1,100,000

Full time

6 days ago
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Benefits offered by this job

Competitive salary
Medical, dental & vision insurance
Generous PTO and retirement plan
Professional growth opportunities

Job summary

Placements24 in Sandton is seeking an analytical Operations Analyst for a hybrid role that blends on-site data work with remote reporting. You will support operational efficiency by interpreting performance data, identifying trends, and recommending improvements across manufacturing functions.

The ideal candidate will have a quantitative degree, 4+ years of experience, and strong proficiency with Excel, SQL, Tableau, and Power BI.

Qualifications

  • Bachelor's degree in a quantitative field or related discipline.
  • Minimum of 4 years of experience as an Operations Analyst or similar analytical role.
  • Strong analytical and problem-solving abilities with excellent communication skills.

Responsibilities

  • Collect, analyze, and interpret operational data to identify trends, inefficiencies, and areas for improvement.
  • Develop and maintain dashboards and reports to track KPIs for manufacturing and operations.
  • Support development and implementation of operational strategies and projects.
  • Collaborate with on-site operational teams to understand processes and gather data.
  • Conduct cost-benefit analyses for proposed changes and initiatives.
  • Present findings and recommendations to management using remote tools for dissemination.

Skills

Data analysis
Problem-solving
Communication skills

Education

Bachelor's degree in Operations Research, Industrial Engineering, Business Analytics

Tools

Excel
SQL
Tableau
Power BI

Job description

Placements24 in Sandton is seeking an analytical Operations Analyst for a hybrid role that blends on-site data work with remote reporting. You will support operational efficiency by interpreting performance data, identifying trends, and recommending improvements across manufacturing functions.

The ideal candidate will have a quantitative degree, 4+ years of experience, and strong proficiency with Excel, SQL, Tableau, and Power BI.

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