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. The role 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.
Education: Bachelor's degree in Computer Science, Data Analytics, or relevant 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 inclduing Macros.
Language Skills: English and local languages
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. Simply click APPLY ONLINE and follow the steps to upload your application.Top Skills
What We Do
At PUMA, we are in constant pursuit of faster. That extends beyond our support of the fastest athletes in the world. We also work to be fast in how we adapt to and connect with the constantly changing world around us. Through innovative design, iconic footwear and apparel, and authentic partnerships, we aim to always push what’s next in both sport and culture. That hustler’s spirit can be felt across PUMA categories, partnerships, offices, and countries. And we are always in search of talent that can help us set the pace at which sport and culture collide, as well as finding better ways to connect and collaborate with our communities.
PUMA supports over 14,000 employees across 120+ countries. The PUMA Group owns the brand PUMA, Cobra Golf and stichd, and is headquartered in Herzogenaurach, Germany.
