Remote Golf Course Analytics Lead

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.