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Operations Analyst Engineer
Job in
Soweto, 1803, South Africa
Listed on 2026-10-03
Listing for:
Placements24
Full Time
position Listed on 2026-10-03
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager -
Business
Data Analyst
Job Description & How to Apply Below
Our client is seeking a data-driven Operations Analyst Engineer to join their team in Soweto. This role is essential for dissecting operational performance, identifying trends, and providing actionable insights to drive efficiency and effectiveness across various business units. You will leverage analytical tools and engineering principles to transform raw data into strategic recommendations, contributing to informed decision-making and process improvements. This is a fantastic opportunity for an analytical thinker to make a substantial impact in a growing organization.
Key Responsibilities- Collect, clean, and analyze operational data from diverse sources to identify performance trends and anomalies.
- Develop reports and dashboards to visualize key performance indicators (KPIs) for operational management.
- Conduct root cause analysis for operational issues and recommend data-backed solutions.
- Collaborate with different departments to understand their operational challenges and provide analytical support.
- Assist in the development and implementation of process improvements based on analytical findings.
- Stay updated on best practices in data analysis and operational metrics.
- Bachelor's degree in Industrial Engineering, Statistics, Mathematics, or a related analytical field.
- Minimum of 3 years of experience in data analysis, operations analysis, or a related role.
- Proficiency in data analysis software and tools (e.g., Excel, SQL, Python/R for data analysis).
- Strong understanding of operational processes and performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication skills to present complex data in an understandable manner.
- Competitive salary and benefits package.
- Opportunities for professional development and training in analytics.
- A collaborative work environment with exposure to various business functions.
- Potential for career growth within the analytics and operations domain.
- Work on impactful projects that influence business strategy.
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