Power BI Billing & Data Analytics Specialist

Scicom MSC Berhad

Kampung Cendana

On-site

MYR 50,000 - 61,000

Full time

6 days ago
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Benefits offered by this job

Salary RM4,500–RM5,500
Performance bonus
Annual leave 15 days
Medical leave 14 days
Medical coverage

Job summary

Scicom MSC Berhad is seeking a data analytics professional in Malaysia to oversee payment validation and drive real-time Power BI dashboards for project status, costs, and compliance. The role emphasizes data accuracy, cross-functional collaboration, and leveraging AI tools to enhance reporting and decision-making.

The ideal candidate will have 2+ years in data analysis, a Bachelor’s degree in Data Analytics or related field, and hands-on experience with Power BI, Power Query, DAX, and

Qualifications

  • Bachelor’s degree in data analytics or related field.
  • 2+ years in data analysis, billing/payment experience preferred.
  • Proficiency in Power BI and AI-enabled analytics tools.

Responsibilities

  • Oversee payment validation and reconciliation to ensure financial compliance and accuracy (as-sold vs. as-delivered).
  • Design, build, and maintain Power BI dashboards to monitor real-time project status, costs, and compliance metrics.
  • Support ad-hoc reporting requests from senior leadership.
  • Hands-on exposure to AI-assisted analytics tools (e.g., Copilot in Power BI, ChatGPT for reporting logic).

Skills

Power BI
AI tools
Cross-functional collaboration
Attention to detail
Risk management

Education

Bachelor’s degree in Data Analytics

Tools

Power Query
DAX formulas
PL-300 certification

Job description

Scicom MSC Berhad is seeking a data analytics professional in Malaysia to oversee payment validation and drive real-time Power BI dashboards for project status, costs, and compliance. The role emphasizes data accuracy, cross-functional collaboration, and leveraging AI tools to enhance reporting and decision-making.

The ideal candidate will have 2+ years in data analysis, a Bachelor’s degree in Data Analytics or related field, and hands-on experience with Power BI, Power Query, DAX, and

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