Data Analysis Engineer at VISIONPOWER SEMICONDUCTOR MANUFACTURING COMPANY PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

29 Nov, 25

Salary

8000.0

Posted On

30 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Power Bi, Statistical Concepts, Data Analysis, R

Industry

Information Technology/IT

Description

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

  • Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
  • Clean, transform, and analyse data to extract valuable insights.
  • Use statistical methods to identify trends, patterns, and correlations in the data.
  • Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
  • Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
  • Write and optimize code to automate data collection, processing, and analysis tasks.
  • Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
  • Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

  • Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
  • Experience with Python and R for data analysis, statistical modelling, and automation tasks.
  • Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
  • Strong understanding of statistical concepts
  • Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
  • Bachelor’s degree or higher in IT-related, Statistical, or Mathematical.
Responsibilities

Please refer the Job description for details

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