Senior Industrial Engineer - Data Analytics & Performance Management

Placements24; Sandton; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Performance bonuses

Executive benefits package

Descripción de la vacante

Placements24 is seeking a highly analytical Senior Industrial Engineer in Sandton to lead data-driven performance management and process optimization across business functions. You will build dashboards, develop predictive models, and translate complex insights into strategic actions for senior leadership.

The role requires a Master's in a quantitative field and 7+ years of experience in analytics-focused industrial engineering, with proficiency in SQL, Python, R and BI tools.

Formación

• Master's degree in Industrial Engineering, Data Science, Statistics or related quantitative field.
• 7+ years of experience in industrial engineering or analytical roles with a focus on data analytics and performance management.
• Proven experience developing and implementing complex data analysis models and reporting systems.
• Proficiency in SQL, Python, R or similar.
• Advanced experience with Tableau or Power BI.
• Strong understanding of statistical methods, predictive modeling, and process simulation.
• Ability to translate technical findings into business impact and present to senior leadership.
• Experience in financial services or technology sectors is desirable.

Responsabilidades

• Develop and maintain advanced dashboards and reporting tools to track KPIs across business operations.
• Analyze large datasets to identify trends, anomalies, and opportunities for process improvement and cost reduction.
• Apply industrial engineering methodologies to optimize workflows, resource allocation, and operational efficiency in non-manufacturing contexts.
• Collaborate with business stakeholders to understand operational challenges and develop data-driven solutions.
• Design and implement A/B testing or other experimental designs to evaluate process changes.
• Build predictive models to forecast operational performance and identify potential risks.
• Present complex analytical findings and recommendations to senior management clearly.
• Mentor junior analysts and engineers on data analysis techniques and best practices.
• Stay current with emerging trends in data analytics, machine learning, and process optimization.

Conocimientos

Data analytics

Dashboard development

Statistical methods

Presenting to senior leadership

Stakeholder management

Educación

Master's degree in Industrial Engineering, Data Science, Statistics

Herramientas

SQL

Python

R

Tableau

Power BI

Descripción del empleo

About the Role

Our client, a global leader in financial services technology based in Sandton , is seeking a highly analytical Senior Industrial Engineer. This role focuses on leveraging data analytics to drive performance management and process optimization across critical business functions. You will be responsible for developing and implementing sophisticated data-driven strategies, building dashboards, and providing actionable insights to senior leadership. The ideal candidate is adept at transforming complex data into clear recommendations and has a strong understanding of both industrial engineering principles and business process analysis. This is a unique opportunity to apply engineering rigor to the financial services sector in a dynamic environment. Contribute your expertise to enhance operational efficiency in Sandton 's premier business hub.

Key Responsibilities

• Develop and maintain advanced dashboards and reporting tools to track key performance indicators (KPIs) across business operations.
• Analyze large datasets to identify trends, anomalies, and opportunities for process improvement and cost reduction.
• Apply industrial engineering methodologies to optimize workflows, resource allocation, and operational efficiency in a non-manufacturing context.
• Collaborate with business stakeholders to understand their operational challenges and develop data-driven solutions.
• Design and implement A/B testing or other experimental designs to evaluate process changes.
• Build predictive models to forecast operational performance and identify potential risks.
• Present complex analytical findings and recommendations to senior management in a clear and concise manner.
• Mentor junior analysts and engineers on data analysis techniques and best practices.
• Stay current with emerging trends in data analytics, machine learning, and process optimization.

Requirements

• Master's degree in Industrial Engineering, Data Science, Statistics, or a related quantitative field.
• 7+ years of experience in industrial engineering or a related analytical role, with a significant focus on data analytics and performance management.
• Proven experience in developing and implementing complex data analysis models and reporting systems.
• Expert proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Advanced experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical methods, predictive modeling, and process simulation.
• Excellent business acumen and the ability to translate technical findings into business impact.
• Outstanding communication, presentation, and stakeholder management skills.
• Experience within the financial services or technology sectors is highly desirable for this role in Sandton.

Benefits

This position offers a highly competitive salary, extensive performance-based bonuses, and a comprehensive executive benefits package, including premium health coverage, retirement planning, and professional development allowances. Our client supports a hybrid work model, promoting a healthy work-life balance. Join a prestigious organization at the forefront of financial technology, offering significant career growth opportunities in Sandton.