Data Analyst

Safeguards Secure Solution Sdn Bhd; Selangor; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading company in Malaysia is seeking a dynamic Data Analyst to drive business performance through data visualization and analysis. The ideal candidate will leverage tools like Tableau and Power BI to create dashboards, conduct trend forecasting, and provide actionable insights that support decision-making and process improvements. Responsibilities also include managing data integrity and collaborating closely with stakeholders to achieve business objectives.

Qualifications

• Bachelor’s degree in a relevant field or professional certification.
• Proficiency in Tableau and Power BI required.
• Experience with data warehousing and SQL highly desirable.

Responsibilities

• Develop dashboards and reports using Tableau and Power BI.
• Conduct data analysis and trend forecasting.
• Support decision-making and strategic planning through data insights.

Skills

Data visualization

Data analysis

Problem Solving

Stakeholder management

Education

Bachelor’s degree in Data Science or relevant field

Professional certification in data analysis

Tools

Tableau

Power BI

SQL

Python

Job description

This role requires a dynamic individual who can leverage data visualization, analysis, and trend identification to support business decision-making while also providing strategic insights to drive process improvements and efficiency. The ideal candidate will have expertise in Tableau and/or Power BI, with strong problem-solving skills and the ability to interpret complex datasets to uncover meaningful patterns that enhance business performance.

Key Responsibilities:

Develop interactive dashboards and data-driven reports using Tableau and/or Power BI, translating raw data into actionable insights.

Conduct in-depth data analysis and trend forecasting to identify opportunities for business improvement.

Utilize data visualization techniques to communicate findings in a clear and impactful way.

Work closely with stakeholders to understand business objectives and provide data-backed recommendations.

Support decision-making, strategy planning, and process optimization using structured data analysis.

Implement and manage data warehousing solutions for efficient storage and retrieval.

Apply basic coding (Python) skills for automation and advanced data manipulation.

Ensure data integrity and accuracy, maintaining high standards in reporting and analysis.

Qualifications and Requirements:

Bachelor’s degree in a relevant field (e.g., Data Science, Business Analytics, Computer Science, Statistics) or a professional certification in data analysis.

Strong proficiency in Tableau and/or Power BI (experience in both is a plus).

Expertise in data visualization, trend analysis, and business intelligence.

Experience in data warehousing, SQL, and structured reporting is highly desirable.

Basic programming knowledge in Python for automation and analysis.

Strong problem-solving abilities with a business-driven approach to analysis.

Excellent communication and stakeholder management skills, with the ability to explain complex data in a clear, business-relevant manner.

Preferred Qualifications:

Knowledge of statistical modeling, predictive analytics, or AI-driven business solutions.

Familiarity with process optimization, forecasting, and strategic planning.

Experience in business performance metrics and financial analysis

Unlock job insights

Salary match Number of applicants Skills match

Your application will include the following questions:

Which of the following statements best describes your right to work in Malaysia? What's your expected monthly basic salary? Which of the following types of qualifications do you have? How many years' experience do you have as a data analyst? Which of the following programming languages are you experienced in? How many years' experience do you have using SQL queries? Have you worked in a role which requires a sound understanding of business intelligence (BI) best practices? Which of the following web analytics tools are you experienced with?

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