Job Description:
As a Distribution Data Analyst,you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:
- Data Modeling: Design and develop data models to support supply chain operations, including inventory management, demand forecasting, and logistics.
- Data Analysis: Analyze large and complex data sets to identify trends, patterns, and insights that can improve supply chain efficiency.
- Collaboration: Work closely with supply chain managers, IT teams, and other stakeholders to understand data requirements and ensure data models meet business needs.
- Data Integration: Integrate data from various sources, including ERP systems, databases, and external data providers, to create comprehensive data models.
- Reporting: Develop and maintain reports and dashboards to provide real-time insights into supply chain performance.
- Data Quality: Ensure data accuracy and integrity by implementing data validation and cleansing processes.
- Optimization: Identify opportunities for process improvements and optimization within the supply chain through data analysis and modeling.
- Documentation: Create and maintain documentation for data models, processes, and procedures.
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
- Bachelor’s degree or higher (completed and verified prior to start)
- Three (3) years of combined experience in Supply Chain and/or Distribution Center experience in a private, public, government or military environment
- One (1) year of Data Analysis and Visualization experience: Proficiency in tools like Excel, Access, Power BI, SQL, etc.
Additional qualifications that could help you succeed even further in this role include:
- Bachelor’s degree or higher in Supply Chain, Information Systems, Operations Management, Business Administration, or similar business degree from an accredited university
- Minimum (2) years of using WMS Planning, DCIS Middle Layer, and warehouse management systems in a private, public, government or military environment
- Experience with Microsoft Access, MSSQL, JDA/DLx, WMS Planning, DCIS Configuration, COMS, PowerBI, BOXI, and MOCA capabilities.
- Statistical Modeling: Knowledge of statistical methods and software such as R, SAS, or SPSS.
- Programming Languages: Skills in Python, SQL, or other relevant languages.
- ERP Systems: Experience with SAP, Oracle, or other enterprise resource planning systems.
- Optimization Techniques: Familiarity with linear programming, simulation, and other optimization methods.
- Experience working with and developing applications based on large data models
- Supply Chain Management: Understanding of supply chain principles, logistics, and operations.
- Data Analysis and Visualization: Proficiency in tools like Excel, Access, Tableau, Power BI, SQL, etc.
- Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Communication: Excellentcommunication and interpersonal skills to work effectively with cross-functional teams.
- Attention to Detail: High level of attention to detail and accuracy in data analysis and reporting.
- ProjectManagement: Abilityto manage multiple projects and priorities in a fast-paced environment.
- Project Management: Ability to manage projects, timelines, and deliverables.
- Communication Skills: Strong written and verbal communication for presenting findings and recommendations.
Work location:
- Hybrid Eligible (Job Duties allow for some remote work but require travel to Dekalb at least 3 days per week)
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.