Air LiquideSFE Data Analyst
Air Liquide is hiring an SFE Data Analyst. Level rates it ; you can apply on Air Liquide.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Gemini and MLOps among its tools and skills.
- Level classes it as a junior role.
- Air Liquide has 1,000+ other open roles on Level.
AI in this role
Air Liquide began operations in Malaysia in 1927 and is one of the pioneers of the gas industry in Malaysia. Operating in 11 locations in Malaysia, comprising both sales offices and production facilities, Air Liquide supports our customers through providing innovative solutions at every step of their production, including industrial and specialty gases, energy solutions, application technologies and services. With a strong workforce of 400 employees and business growth through our recent acquisition with nationwide presence, this will provide an exciting experience and journey with the opportunity that is unique yet challenging to gauge the integration and synergy processes that will change the entire competition landscape in Malaysia.
Scope: Focuses on a small or simple scope of products.Key Responsibilities:
Manage product/brand technology, technical aspects, industrialization, codes, offer, and competitiveness with a worldwide approach. Ensure continuous performance and cost improvement. Provide support to proposal and project execution teams. Analyze sales information, prepare forecasts, coordinate promotions, monitor sales performance, and manage the product roadmap. Ensure compliance with AL technical and safety standards.
Improve sales efficiencies by implementing methods, processes and tools. Participate in the sales organisation design. Develop and maintain sales methods at the ROC level based on the Industrial Merchant business unit's Sales Force Operating Model. Engage and motivate sales by formulating and implementing incentive and reward schemes. Design and manage training paths and career development paths for the sales force.
How will you CONTRIBUTE and GROW?
1. Data Stewardship & Integrity (Processing)
- Data Cleaning: Lead routine data cleaning initiatives for EAP countries to ensure high-quality inputs for Commercial tools and reporting.
- Access Governance: Support the SFE Mathods Manager & Commercial Data Specialist in managing data access governance and user permissioning for local entities.
- Issue Identification: Proactively spot potential data gaps or system errors before they impact end-users, developing interim solutions where necessary.
2. Performance Reporting & Monitoring (Activation)
- KPI Tracking: Automate and run regular reports to monitor Behaviour KPIs (touchpoints, pipeline health) and Performance KPIs (Churn, Price Impact, C2P).
- Tool Transition: Assist in the transition from legacy Excel-based tracking to Power BI dashboards.
- Performance Trends: Analyze and flag performance trends to the SFE Methods Manager to support strategic decision-making.
3. Local Country Support & Adoption (Change Management)
- Onboarding: Support the onboarding of new sales team members by providing training support to SFE Performance Coaches on commercial tools and best practices.
- User Support: Support the BPO and local entities regarding SFE tool enhancements and system updates.
- Documentation: Support SFE Methods Manager om maintain and update SFE playbooks, standard operating procedures (SOPs), and training resources to ensure regional harmonization.
4. Continuous Improvement & Agility
- Process Standardization: Collaborate with cross-functional groups to drive alignment and standardization of commercial processes.
- Innovation: Embrace new technologies (e.g., Gemini/AI) to enhance productivity in daily workflows and data analysis.
Are you a MATCH?
- 0–2 years of experience in a commercial, analytical, or IT support role. Prior exposure to CRM systems and/or PowerBI is a plus.
- Bachelor in Business, Engineering, Finance, IT or related field
- Specific Training or Certification: AL AI readiness (Statistics, Python, Git, Basic ML)
- GDO Power BI level 4 certification + PBI Premium ML Ops
**We thank you for your interest in Air Liquide. Interested applicants are encouraged to send a detailed resume, including reasons for leaving past employment. Please be informed that only shortlisted candidates will be notified.**
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
SFE Data Analyst at Air Liquide rates 34 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data analyst job
- $105k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used Gemini in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops and Gemini. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new data analyst jobs by email
One email a week with the new data analyst jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step