Student Intern - Human Resource

SLB; Klang City; On-site; MYR 17,000 - 25,000; Part time

Job summary

SLB is offering a Student Intern position in its HR function to gain exposure to the oil and gas technology industry and understand Schlumberger's role and the lifestyle of working in this sector.

The internship emphasizes learning about the industry, following weekly guidelines, and evaluating readiness for a full-time role. Candidates should have a Diploma or Degree in HR or related fields, with basic to intermediate Power BI and strong Excel skills for data analysis and reporting.

Qualifications

• Diploma or degree in HR, data analytics, or related fields.
• Basic to intermediate Power BI knowledge; strong Excel skills and data reporting.
• Detail-oriented with strong communication and presentation skills; proactive and eager to learn.

Responsibilities

• Gain exposure to HR career opportunities within the oil and gas tech industry.
• Follow internship guidelines weekly and assess fit for full-time role.
• Develop data analytics and reporting skills using Power BI and Excel.

Skills

Analytical thinking

Detail oriented

Communication

Presentation skills

Willingness to learn

Education

Diploma/Degree in HR

Data Analytics

Computer Science / Engineering / IS

Tools

Power BI

Excel

Job description

The Student Intern is responsible for gaining exposure to career opportunities within the oil and gas technology industry within HR function. This person discovers Schlumberger's role in the industry and the lifestyle associated with the job.

• Learn about the oil and gas industry.
• Follow prescribed internship guidelines for each week as closely as possible. Note: While the opportunity for technically-trained professionals is large, these jobs are unique in their scope and responsibility and require a special kind of individual to succeed. The internship will enable the candidate and Schlumberger determine if these requirements are met before committing to a full time job.

Diploma/Degree in Human Resources, Data Analytics, Business Analytics, Computer Science, Engineering, Information Systems, or related fields.

Basic to intermediate Power BI knowledge, excellent Excel skills (Pivot Table, XLOOKUP/VLOOKUP, charts, formulas), data analysis and reporting, Microsoft Office proficiency (Excel, PowerPoint, Outlook)

Detail-oriented, analytical, proactive, good attitude, strong communication and presentation skills, willingness to learn