Data Analyst

X-FAB Silicon Foundries


Date: 3 weeks ago
City: Kuching
Contract type: Full time

Kuching, Malaysia

Job Title: Data Analyst


Role Overview
You will design, build, and maintain data analytics applications and automation workflows to meet internal business needs. This includes developing R Shiny apps, automation scripts, and ensuring robust deployment and performance of analytics tools.


Key Responsibilities

  • Develop, test, and maintain R Shiny applications for data visualization and reporting.
  • Build automation scripts in R or Python to streamline workflows.
  • Translate business requirements into effective data-driven solutions.
  • Design and manage datasets/databases as needed.
  • Optimize applications for performance, scalability, and reliability.
  • Support UAT and deploy applications to production environments.
  • Document solutions, conduct code reviews, and share knowledge within the team/ developer community.
  • Collaborate with various IT counterparts to align on server management, security standard, and company policies.

Your Profile

Education & Experience

  • Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field.
  • 2+ years of relevant experience preferred.

Core Competencies

  • Strong problem-solving skills with a passion for learning new technologies.
  • Collaborative and communicative; able to work both independently and in teams.
  • Professional integrity and respect for diverse perspectives.

Technical Skills

  • Solid understanding of the application development lifecycle and OOP principles.
  • Proficiency in at least one programming language: R (preferred), Python, JavaScript, CSS, or HTML.
  • Experience with one or more modern web frameworks such as Shiny (preferred), React, Angular, Vue, Redux, Streamlit, or Dash.
  • Background or strong interest in data analysis, data visualization, and software development.
  • Familiarity with Linux environments, CI/CD practices, and version control (Git).
  • Exposure to containerization and orchestration tools (e.g., Docker, Kubernetes) is an advantage.
  • Hands-on experience with SQL or NoSQL databases (e.g., MongoDB, Cassandra, GraphDB, MSSQL).

Contact person : Kristina Sim

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