Performance Analytics Engineer

Air Liquide is hiring a Performance Analytics Engineer. Level rates it ; you can apply on Air Liquide.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Air Liquide has 1,000+ other open roles on Level.

AI in this role

ALBS is an Air Liquide entity in Kuala Lumpur, regrouping for the APAC scope its Business Service Centers (Kuala Lumpur and Shanghai) as well as the two Global Functions (IT, Digital and Procurement). Designed to derive optimal value by better leveraging technology, people and competencies, the ultimate goal is to boost efficiency and deliver outstanding and sustainable performance while keeping a strong focus on customer centricity. This Organization is striving for excellence, adopting the Best in Class models to deliver value through simplification and standardization of processes, while adhering to Internal controls and compliance requirements.

The Performance Analytics Engineer drives operational excellence across the East Asia Pacific cluster by leveraging advanced data analytics, automated operating models, and diagnostic tools to maximize plant uptime and efficiency. Acting as a key bridge between the Remote Operations Control Center and site teams, this role proactively monitors critical equipment, mitigates production deviations, and optimizes plant performance to achieve the Best Economical Point.

How will you CONTRIBUTE and GROW?

Plant Performance & Process Optimization: Analyze airgas plant operations, eliminate bottlenecks, minimize operational waste (flaring/venting/power loss), and execute Model Predictive Control (MPC/MVS) strategies.
Monitoring & Troubleshooting: Conduct daily monitoring, resolve operational deviations, perform Root Cause Analysis (RCA), and lead regular troubleshooting reviews with site teams and SMEs.
Crisis Management & Continuity: Support pre-/post-crisis operations during plant upsets or trips, provide operational guidance, and ensure business continuity.
Operational Excellence & Digitalization: Deploy Liquid Mass Balance (LMB) tools, drive Continuous Improvement Projects (C-IMP), and standardize digital dashboards and SOPs.

Are you a MATCH?

Bachelor’s degree in Chemical Engineering with 2+ years of relevant experience in plant operations or process engineering.
Strong fundamentals in ASU processes, process control/DCS, and data analytics.
Knowledge of Bulk-On Site or Electronics (TGCM) business models is preferred.
Fluent in English, strong problem-solving and cross-functional communication skills, and willingness to respond beyond standard working hours during plant emergencies.

#LI-LH1

About Air Liquide

A world leader in gases, technologies and services for Industry and Health, Air Liquide is present in 78 countries with approximately 64,500 employees and serves more than 3.8 million customers and patients. Oxygen, nitrogen and hydrogen are essential small molecules for life, matter and energy. They embody Air Liquide’s scientific territory and have been at the core of the company’s activities since its creation in 1902.

Our Differences make our Performance

At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.

We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.

How we rate this

Performance Analytics Engineer at Air Liquide rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.