Business Intelligence Analyst at EPS Ventures Sdn Bhd
Kuala Lumpur, KL, Malaysia -
Full Time


Start Date

Immediate

Expiry Date

08 Jun, 25

Salary

0.0

Posted On

09 Mar, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Management Skills, Pivot Tables, Automation, Data Visualization, Data Transformation, Business Acumen, Power Bi, Microsoft Excel

Industry

Information Technology/IT

Description

REQUIRED SKILLS & QUALIFICATIONS:

  • Proficiency in Microsoft Excel (Advanced formulas, PivotTables, Power Query, VBA/Macros).
  • Hands-on experience with Power Query for data transformation and automation.
  • Strong experience in report automation to improve efficiency and reduce manual effort.
  • Good knowledge of data visualization and reporting best practices.
  • Analytical mindset with strong business acumen and problem-solving skills.
  • Ability to work with large datasets, ensuring accuracy and consistency.
  • Excellent communication and stakeholder management skills.
  • Quick learner with the ability to adapt to new tools and technologies.
  • Experience with SQL, Power BI, or other BI tools is a plus.
    Job Type: Contract
    Contract length: 12 months
    Pay: RM7,000.00 - RM7,200.00 per month

Education:

  • Bachelor’s (Required)

Experience:

  • Power BI: 3 years (Required)
  • SQL: 3 years (Required)
  • Pivot tables: 3 years (Required)

Work Location: In perso

Responsibilities
  • Develop, maintain, and automate reports and dashboards to provide actionable insights.
  • Utilize Excel, VBA Macros, and Power Query to streamline data processing and reporting tasks.
  • Extract, transform, and analyze data from multiple sources to support business decisions.
  • Ensure accuracy, consistency, and reliability of reports by implementing validation and reconciliation techniques.
  • Collaborate with stakeholders to understand reporting requirements and translate them into effective reporting solutions.
  • Improve reporting efficiency through automation and optimization of existing processes.
  • Provide ad-hoc analysis and support data-driven decision-making across departments.
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