Overview
A leading global logistics and supply chain organization seeks a Power BI Data Analyst to join their Contract Logistics Center of Excellence (CoE). The role is part of a technical services team that provides business intelligence expertise and analytical support for warehouse management and logistics operations across multiple regions.
Key Responsibilities
- Manage, maintain, and enhance BI applications (Power BI, Cognos, Jasper).
- Design, develop, and deploy Power BI dashboards and reports aligned with business requirements.
- Collaborate with regional and central teams to gather, analyze, and validate reporting needs.
- Create, optimize, and maintain data models to improve performance and scalability.
- Troubleshoot and resolve BI-related issues and incidents.
- Support business and IT teams in data analysis and BI project implementation.
- Coordinate BI system updates, upgrades, and performance tuning activities.
- Document BI standards, data management procedures, and best practices.
- Provide user training and ongoing support to enhance BI adoption and usage.
- Manage BI-related projects involving internal and external stakeholders.
Qualifications & Experience
Bachelor’s degree in Computer Science, Information Technology , or a related field.5+ years of experience in business intelligence, data analytics, or data visualization roles.Strong hands‑on experience with Power BI (including DAX, Power Query, and data modeling).Proficiency in SQL and experience connecting various data sources.Familiarity with other BI tools such as Cognos, Qlik, or Tableau is an advantage.Experience with warehouse management systems (WMS) , particularly Manhattan MAWM SaaS , is a plus.Excellent analytical thinking, problem‑solving, and organizational skills.Strong communication and collaboration abilities.Ability to handle multiple projects and deliver results within deadlines.What’s on Offer
Contract opportunity with a globally recognized logistics organization.Exposure to enterprise‑level BI systems and international data environments.Collaborative, multicultural work culture with a focus on innovation and efficiency.Opportunity to contribute to impactful data‑driven projects across regions.May require flexibility to work with stakeholders in different time zones.
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