Role Overview
Linde India is hiring a entry-level Data Analyst for Smart Operations. This is a full-time role in IN. Part of Linde India's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Role Overview:
You will have an amazing opportunity in a global organisation at Linde where your work extends beyond your job description to benefit the people you work with, the communities served, and the world. As part of the team, your opportunities are limitless, and you will be encouraged to be Linde and be Limitless.
Key Responsibilities:
- Analyze operational data, support digital transformation, manage key applications, and contribute to AI-driven optimization across Lindes global production assets.
- Collect, clean, and analyze large datasets from industrial operations (process data, maintenance logs, etc.).
- Collaborate with cross-functional teams to identify opportunities for process improvements and operational efficiencies.
- Support the validation of machine learning models for predictive maintenance, energy optimization, and anomaly detection.
- Lead and/or support the maintenance and improvement of key global applications, visualize data, and present actionable insights to business stakeholders.
- Assist in building dashboards and reporting tools using platforms like Power BI or Tableau.
- Collaborate closely with Data Scientists, Process Engineers, and IT teams to operationalize data-driven solutions.
- Stay updated on digital trends in process industries and suggest innovative improvements.
Qualifications Required:
- Degree in Chemical Engineering, Process Engineering, or a related field; master's or PhD preferred.
- Minimum 2 years of experience in industrial operations, process optimization, and data analytics.
- Experience in the industrial gases sector or process manufacturing is a plus.
- Foundational experience in machine learning, managing and supporting SW applications in Python, Matlab, and SQL for data analysis, and using data visualization tools like Power BI, Tableau, Grafana, etc.
- Strong analytical skills, experience working with large datasets, and a solid understanding of industrial processes and KPIs.
- Excellent communication skills and ability to work in international, cross-functional teams.
Additional Details:
Linde is a leading global industrial gases and engineering company committed to making the world more productive every day by providing high-quality solutions, technologies, and services to customers. The company serves various end markets and supports technologies critical to the energy transition, healthcare, electronics, and more. Linde employees adhere to the Linde Code of Ethics and Code of Conduct, demonstrating honesty, integrity, and professionalism in all interactions.
If you meet the qualifications and are inspired by the opportunity, Linde looks forward to receiving your complete application via the online job market before the closing date on 15th August 2025. Linde values diversity and is committed to sustainable development across all its business areas and locations globally. Role Overview:
You will have an amazing opportunity in a global organisation at Linde where your work extends beyond your job description to benefit the people you work with, the communities served, and the world. As part of the team, your opportunities are limitless, and you will be encouraged to be Linde and be Limitless.
Key Responsibilities:
- Analyze operational data, support digital transformation, manage key applications, and contribute to AI-driven optimization across Lindes global production assets.
- Collect, clean, and analyze large datasets from industrial operations (process data, maintenance logs, etc.).
- Collaborate with cross-functional teams to identify opportunities for process improvements and operational efficiencies.
- Support the validation of machine learning models for predictive maintenance, energy optimization, and anomaly detection.
- Lead and/or support the maintenance and improvement of key global applications, visualize data, and present actionable insights to business stakeholders.
- Assist in building dashboards and reporting tools using platforms like Power BI or Tableau.
- Collaborate closely with Data Scientists, Process Engineers, and IT teams to operationalize data-driven solutions.
- Stay updated on digital trends in process industries and suggest innovative improvements.
Qualifications Required:
- Degree in Chemical Engineering, Process Engineering, or a related field; master's or PhD preferred.
- Minimum 2 years of experience in industrial operations, process optimization, and data analytics.
- Experience in the industrial gases sector or process manufacturing is a plus.
- Foundational experience in machine learning, managing and supporting SW applications in Python, Matlab, and SQL for data analysis, and using data visualization tools like Power BI, Tableau, Grafana, etc.
- Strong analytical skills, experience working with large datasets, and a solid understanding of industrial processes and KPIs.
- Excellent communication skills and ability to work in international, cross-functional teams.
Additional Details:
Linde is a lead
Frequently Asked Questions
How do I apply for the Data Analyst for Smart Operations position at Linde India?
Use the Apply button above to submit your application directly to Linde India. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Analyst for Smart Operations position at Linde India located?
This position is based in IN. Linde India has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Analyst for Smart Operations at Linde India earn?
Linde India has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Analyst for Smart Operations role at Linde India posted?
This role was posted on May 5, 2026 (34 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Data Analyst for Smart Operations role at Linde India entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Linde India has listed.
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