Onsite Predictive Analytics Engineer – Air Liquide
Role Summary
The Onsite Predictive Analytics Engineer is responsible for developing and implementing predictive models to enhance operational efficiency and decision-making. This role involves analyzing data trends and collaborating with cross-functional teams to provide insights that drive strategic initiatives.
Job Description
As an Onsite Predictive Analytics Engineer, you will engage in day-to-day activities that include analyzing data and collaborating with various teams to optimize processes. You will work in a dynamic environment focused on delivering sustainable performance and customer satisfaction.
Key Responsibilities:
- Develop predictive models to enhance operational efficiency.
- Analyze data trends to inform decision-making processes.
- Collaborate with cross-functional teams to drive strategic initiatives.
- Ensure compliance with internal controls and standards.
- Optimize processes to improve customer satisfaction.
- Present findings and insights to stakeholders.
- Utilize data visualization tools to communicate results effectively.
Job Requirements
Bachelor's degree in Data Science, Statistics, or a related field.
Proficiency in predictive modeling techniques and tools.
Strong analytical skills with experience in data analysis and interpretation.
Knowledge of compliance and internal control standards.
Excellent communication skills for presenting findings.
Quick Info
Company
Air Liquide
Location
Kuala Lumpur
Salary
—
Skills Required
7 skills
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Required Skills
Predictive Modeling
Data Analysis
Communication
Collaboration
Compliance Knowledge
Data Visualization
Analytical Thinking
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