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Teamhead, Business Intelligence SEAO

Teamhead, Business Intelligence SEAO

PUMA GroupSelangorMalaysia, Selangor, Malaysia
1 day ago
Job description

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SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy and all genders are welcome. Simply click APPLY ONLINE and follow the steps to upload your application.

YOUR MISSION

The Teamhead, Business Intelligence SEAO is a strategic leader responsible for shaping and executing the regional BI vision to drive data-driven decision-making across the SEAO cluster. This role bridges business strategy and data analytics, transforming complex datasets into actionable insights that power growth, operational efficiency, and commercial performance. It encompasses full BI ownership—from data ingestion and engineering to advanced reporting and visualization—ensuring the organization becomes truly insight-led.

Task 1 : BI Strategy Execution & Visualization Development

  • Lead the development of impactful, user-centric BI dashboards and reports using Power BI.
  • Partner with cross-functional stakeholders to understand key business questions and translate them into analytical deliverables.
  • Ensure reporting aligns with industry best practices in data storytelling, usability, and performance.
  • Conduct end-user training and change management to maximize BI adoption and engagement.

Task 2 : BI Project Leadership & Data Integration

  • Plan and drive high-impact BI initiatives across departments, aligning with business goals.
  • Manage cross-functional project timelines, deliverables, and stakeholder communication.
  • Champion data integration efforts, connecting multiple sources into a unified and accessible BI ecosystem.
  • Task 3 : BI Cube Governance & Global Collaboration

  • Collaborate with the Global BI Team to maintain and enhance the BI tabular cube infrastructure.
  • Ensure data quality, reliability, and scalability in alignment with global BI standards.
  • Support global initiatives on Spark-based data solutions, ELT pipeline design, and Data Lake management.
  • Task 4 : Operational BI Support & Continuous Improvement

  • Serve as the first point of contact for BI issues, troubleshooting data discrepancies and ensuring minimal downtime.
  • Liaise with global counterparts to resolve issues effectively and document learnings.
  • Identify process bottlenecks and lead continuous improvement in BI operations.
  • Task 5 : Process Excellence & BI Best Practices

  • Establish and document BI development standards, governance, and quality assurance practices.
  • YOUR TALENT

    Education : Bachelor’s degree in Computer Science, Data Analytics, or related studied.

    Professional : 5-7 years in business intelligence, analytics, or data engineering and / or Business Intelligence field. Proven experience leading BI strategy or transformation project. Industry background in retail, wholesale, or consumer goods preferred.

    IT Skills : Power BI, Professional in DAX (using DAX studio, Tabular Editor, Power BI), Strong coding skills (SQL, Python), Basic understanding of Azure Synapse Analytics (Synapse Pipelines, Apache Spark for Synapse, Synapse Studio) and other ETL tools, Basic knowledge in SAP, Basic knowledge in API, Advanced skills in Excel including Macros.

    Language Skills : English and local languages.

    PUMA supports over 19,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and stichd, and is headquartered in Herzogenaurach, Germany.

    PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.

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    Intelligence • SelangorMalaysia, Selangor, Malaysia