Power BI Data Analyst: Insightful Dashboards & Analytics

QL Kitchen Sdn Bhd; Shah Alam; On-site; MYR 66,960 - 133,920; Full time

Job summary

QL Kitchen Sdn Bhd is seeking a data analytics professional to design and maintain Power BI dashboards, structuring ERP and production data for analysis. You will analyze operational and quality data to identify trends and opportunities for improvement.

Collaborating with cross-functional teams, you will translate business needs into impactful data insights, supporting productivity, efficiency, waste reduction, and forecasting efforts in a digitalized operations environment.

Qualifications

• Bachelor’s degree in data analytics or related field.
• Power BI proficiency with strong Excel experience.
• Strong knowledge of DAX and Power Query for data modeling and measures.
• Experience with complex data and data quality improvements.
• Understanding of ETL: collect, clean, transform data from multiple sources.
• Familiarity with Microsoft Fabric; SQL and Python or R are a plus.
• Strong analytical thinking, attention to detail, and data accuracy.

Responsibilities

• Design, develop, and maintain Power BI dashboards and reports for clear visualizations.
• Prepare and structure operational data from ERP and production systems for analysis.
• Analyze operational and quality data to identify trends and improvement opportunities.
• Collaborate with cross-functional teams to translate business needs into data insights.
• Support improvements by analyzing productivity, efficiency, waste, cost, and forecasting.
• Support operations digitalization initiatives to improve data structuring and process visibility.

Skills

Power BI

DAX

Power Query

Excel

SQL

Python

R

ETL

Data Modeling

Data Quality

Data Visualization

Education

Bachelor's degree in data analytics

Tools

Microsoft Fabric

Dataflows

SQL

Job description

QL Kitchen Sdn Bhd is seeking a data analytics professional to design and maintain Power BI dashboards, structuring ERP and production data for analysis. You will analyze operational and quality data to identify trends and opportunities for improvement.

Collaborating with cross-functional teams, you will translate business needs into impactful data insights, supporting productivity, efficiency, waste reduction, and forecasting efforts in a digitalized operations environment.