Remote Industrial Engineer - Performance Analytics Lead

Placements24

Benoni

Hybrid

ZAR 1,200,000 - 1,800,000

Full time

2 days ago
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Benefits offered by this job

Fully remote work arrangement
Performance-based bonuses
Health, dental, and vision insurance
Professional development allowance
Access to analytical software and data
Opportunity to shape data strategy
Collaborative remote work environment

Job summary

Placements24 seeks a Remote Industrial Engineer to lead performance analytics across key operations. You will design frameworks, collect and analyze large data sets, and translate findings into actionable insights for senior management.

Expertise in Python/R, SQL, and data visualization (Tableau/Power BI/Qlik) is essential, with strong communication and remote leadership skills. This role offers fully remote work from anywhere in South Africa.

Qualifications

  • Master's degree in Industrial Engineering, Data Science, Statistics, Operations Research, or a closely related quantitative field.
  • Minimum of 7 years of experience in industrial engineering or data analytics, focused on performance measurement and improvement.
  • Expertise in Python or R and SQL for data analysis and querying.
  • Advanced proficiency with data visualization tools (Tableau, Power BI, Qlik).
  • Strong background in statistical modeling, predictive analytics, and possibly machine learning.

Responsibilities

  • Develop and maintain a comprehensive performance analytics framework for key business operations.
  • Collect, clean, and analyse large datasets from various sources to identify trends and opportunities.
  • Apply statistical modeling and machine learning techniques to gain insights.
  • Create data visualizations and dashboards to communicate metrics to stakeholders.
  • Collaborate with department heads to understand analytical needs and provide data-driven recommendations.
  • Design and execute A/B tests and experiments to evaluate changes.
  • Stay abreast of emerging trends in data analytics and industrial engineering.
  • Develop and deliver training programs on performance analytics for relevant teams.
  • Ensure data integrity and accuracy across analytical platforms.
  • Champion a data-driven culture throughout the organization.

Skills

Data analysis
Statistical modeling
Remote team leadership
Communication
Data visualization

Education

Master's degree in Industrial Engineering or related field

Tools

Python
R
SQL
Tableau
Power BI
Qlik
A/B testing
Machine learning

Job description

About the Role

Our client, a rapidly growing technology services firm, is looking for an exceptional Remote Industrial Engineer to lead their performance analytics initiatives. This is a fully remote position, offering the flexibility to work from anywhere in South Africa. You will be instrumental in developing and implementing advanced analytical frameworks to measure, monitor, and improve the performance of various business operations. Your role will involve leveraging data from diverse sources, employing sophisticated statistical techniques, and translating complex findings into actionable insights for senior management. The ideal candidate will possess a strong quantitative background, expertise in data analysis and visualization tools, and a deep understanding of industrial engineering principles applied to service-oriented environments. This is a unique opportunity to define and drive data-driven decision-making across the organization and to contribute significantly to strategic operational improvements from a remote setting.

Key Responsibilities
  • Develop and maintain a comprehensive performance analytics framework for key business operations.
  • Collect, clean, and analyze large datasets from various sources to identify trends, patterns, and areas for improvement.
  • Apply statistical modeling, machine learning, and other advanced analytical techniques to gain insights.
  • Create compelling data visualizations and dashboards to communicate performance metrics and findings to stakeholders.
  • Collaborate with department heads and operational teams to understand their analytical needs and provide data-driven recommendations.
  • Design and execute A/B tests and other experiments to evaluate the impact of proposed changes.
  • Stay abreast of emerging trends and technologies in data analytics and industrial engineering.
  • Develop and deliver training programs on performance analytics for relevant teams.
  • Ensure data integrity and accuracy across all analytical platforms.
  • Champion a data-driven culture throughout the organization.
Requirements
  • Master's degree in Industrial Engineering, Data Science, Statistics, Operations Research, or a closely related quantitative field.
  • Minimum of 7 years of experience in industrial engineering or data analytics, with a focus on performance measurement and improvement.
  • Expertise in statistical programming languages (e.g., Python, R) and database querying (e.g., SQL).
  • Advanced proficiency with data visualization tools (e.g., Tableau, Power BI, Qlik).
  • Strong experience with statistical modeling, predictive analytics, and potentially machine learning techniques.
  • Proven ability to translate complex data into clear, actionable business insights.
  • Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders remotely.
  • Demonstrated experience in leading analytics projects and managing remote teams.
  • Strong understanding of business operations and key performance indicators across various industries.
  • Self-motivated, highly organized, and capable of working autonomously.
Benefits
  • Fully remote work arrangement offering exceptional flexibility.
  • Highly competitive salary package with performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Generous allowance for professional development, including conferences and certifications.
  • Access to state-of-the-art analytical software and tools.
  • Opportunity to shape the data strategy of a growing tech company.
  • Collaborative and forward-thinking remote work environment.
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