Deskripsi Pekerjaan
Join Staffinc Group as a Data Analyst Warehouse and transform raw data into actionable business intelligence. In this pivotal role, you'll analyze complex datasets to optimize warehouse operations, enhance supply chain efficiency, and drive strategic decision-making. Your insights will directly impact inventory management, logistics planning, and operational performance, helping us maintain our competitive edge in the dynamic logistics sector.
We seek a detail-oriented analytical mind to uncover patterns in large datasets, create compelling visualizations, and translate findings into actionable recommendations. If you thrive in fast-paced environments where data drives innovation and enjoy collaborating with cross-functional teams to solve real-world problems, this opportunity is ideal for you.
Tanggung Jawab
- Analyze large-scale warehouse datasets to identify operational inefficiencies and optimization opportunities
- Develop and maintain automated reporting systems for inventory, logistics, and performance metrics
- Create interactive dashboards and visualizations using BI tools to communicate insights to stakeholders
- Collaborate with warehouse teams to understand data requirements and deliver actionable recommendations
- Validate data integrity and implement quality control measures for all analytical outputs
- Support strategic planning by forecasting inventory trends and resource allocation needs
- Stay current with industry best practices in data warehousing and analytical methodologies
Kualifikasi
- Bachelor's degree in Information Technology, Statistics, Computer Science, or related field
- Minimum 2 years of experience in data analysis, preferably in logistics or warehousing
- Proficiency in SQL, Excel, and at least one BI tool (Tableau/Power BI)
- Strong statistical analysis skills with ability to interpret complex datasets
- Experience with data visualization and reporting dashboards
- Excellent problem-solving abilities with attention to detail
- Effective communication skills to present findings to non-technical stakeholders