BI Manager

Pos Malaysia; Kuala Lumpur; On-site; MYR 90,000 - 120,000; Full time

Job summary

A leading logistics company in Kuala Lumpur is looking for a Business Intelligence Lead to oversee BI reporting systems and drive data insights. The ideal candidate will have 5+ years of experience, strong SQL skills, and proficiency in Power BI or Tableau. This role involves collaborating with cross-functional teams to create insightful dashboards and ensure data quality standards are met.

Qualifications

• 5+ years of experience in Business Intelligence or data analytics.
• Proven expertise in data visualization and dashboard development.
• Advanced SQL skills and experience writing efficient data queries.

Responsibilities

• Lead the development of strategic business metrics.
• Design scalable data models to support reporting.
• Communicate complex insights through data storytelling.

Skills

Data visualization

SQL

Stakeholder engagement

Business Intelligence

Dashboard development

Python

Education

Bachelor's degree in Data Science, Computer Science, Information Systems

Tools

Power BI

Tableau

Job description

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Lead the development, refinement, and implementation of key strategic business metrics.

Ensure high-quality data by overseeing data collection, cleaning, transformation, and validation processes.

Design scalable and efficient data models (e.g., star schema) to support enterprise reporting.

Leverage SQL and Python for automation, advanced analytics, and data exploration tasks.

Convert business problems into analytical solutions, defining measurable success metrics.

Communicate complex insights through compelling narratives and data storytelling.

Build Trust

Develop and maintain robust, scalable, and automated BI reporting systems.

Ensure BI solutions comply with data governance, privacy, and regulatory standards.

Manage workspace configurations and user access controls in Power BI.

Collaborate on data integration and modernization initiatives in alignment with digital transformation goals.

One Team

Lead and mentor a high-performing BI team, promoting professional growth and skill development.

Work closely with cross-functional teams to define KPIs and create meaningful, actionable dashboards.

Act as a liaison between technical teams and business stakeholders, ensuring alignment on priorities and deliverables.

Foster a data-literate culture through training, support, and enablement efforts.

Move Fast

Drive continuous improvement in BI tools, processes, and team operations.

Collaborate across engineering, product, and analytics teams to deliver data products on time and at scale.

Adapt quickly to shifting business needs with agile BI solutions and rapid prototyping.

Design and deliver executive-level dashboards that provide clear, actionable insights.

Proactively identify opportunities for BI process improvements and user experience enhancements.

Ensure timely resolution of reporting issues and maintain high data quality standards.

Promote insight-to-action by building dashboards that align with real-world business challenges.

Standardize and govern reusable BI assets to support self-service analytics and reduce redundancy.

Job Requirements

Bachelor's degree in Data Science, Computer Science, Information Systems, or related field.

Minimum 5 years of experience in Business Intelligence, data analytics, or a related field.

Proven expertise in data visualization and dashboard development, with a strong command of Power BI (preferred) or Tableau.

Advanced SQL skills and experience in writing efficient, scalable data queries.

Solid understanding of data transformation and modeling, including dimensional modeling and best practices.

Experience gathering and translating business requirements into technical solutions.

Strong interpersonal and communication skills, with a track record of effective stakeholder engagement.

Proven success in a collaborative, team-oriented environment.

Preferred Qualifications

Hands-on experience with Python or R for data analysis or automation.

Familiarity with AWS data services, data modeling techniques, and Copilot for productivity.