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MODEC

Data Analyst

MODEC Kuala Lumpur, Kuala Lumpur, Malaysia

Oil and Gas · 1,001-5,000 employees

Oct 20
data-analyst Mid (2-5 yrs) Full-time Malaysia
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About the role

Develop and maintain interactive dashboards using Power BI to enhance data monitoring and visualization. Identify and implement automated reporting solutions to improve data processing efficiency and support digitalization initiatives.

What they look for

Data Analysis Dashboard Development Power BI Excel SQL Python Data Visualization Process Automation Reporting Digitalization Analytical Skills

Requirements

Requires a degree in Engineering, Business Analytics, Computer Science, Information Technology, or a related field. Candidates must possess strong analytical skills and proficiency in Excel, Power BI, SQL, and Python.

Full description

OFS Malaysia is a subsidiary of Offshore Frontier Solutions Pte. Ltd. (OFS), a MODEC Group company in Malaysia. Being part of Modec means being the protagonist of a challenging career and being in touch with the latest deep-water production systems, knowing that your career begins in Malaysia, but your talent can take you anywhere in the world.

If you want to be one of the greatest in the market, this is your opportunity!

We are currently looking for talented individuals to join us for below role

Data Analyst

We are currently based at KL Eco City, Malaysia.

Job Summary

 

Develop dashboards, automate reporting, and support digitalization initiatives to enhance data analysis and monitoring.

Job Responsibilities

  • Dashboard Development and Data Visualization - Develop, maintain, and enhance interactive dashboards using Power BI and other relevant data visualization.
  • Digitalization and Process Automation -Identify and Develop automated reporting solutions to reduce manual data processing and improve reporting efficiency.
  • Data Management and utilizes programming languages like Phython and others for data analysis and creating visualization.

 

 

Qualification

Degree in Engineering, Business Analytics, Computer Sciences, Information Technology, or related discipline.

 

Technical Competencies

- Strong analytical skills

- Proficiency in tools like Excel, Power BI, SQL, Phyton, and data visualization software.

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