Introduction
We are seeking a detail-oriented Data Analyst to support our company transformation project. The ideal candidate will be responsible for analyzing supply chain data, identifying trends, and providing insights to improve efficiency, reduce costs, and optimize processes.
Key Responsibilities:
* Data Collection & Management: Gather, clean, and manage large datasets from various sources, including internal ERP systems and external suppliers.
* Data Analysis: Perform in-depth analysis to identify trends, bottlenecks, and inefficiencies in supply chain processes such as inventory management, lead times, supplier performance, and transportation.
* Reporting & Visualization: Develop dashboards, reports, and visualizations to communicate insights and recommendations to stakeholders. Utilize tools like Excel, Power BI, Tableau, or similar software.
* Forecasting & Modeling: Support inventory optimization and capacity planning using statistical models and data analysis techniques.
* Cross-Functional Collaboration: Work closely with other departments to ensure data accuracy and alignment with supply chain goals.
* Process Improvement: Provide actionable insights to improve supply chain performance, reduce costs, and enhance customer satisfaction through data-driven strategies.
* Key Performance Indicators & Metrics: Track and analyze supply chain KPIs.
Your Profile:
* Experience: Minimum 5 years of experience in data analysis, preferably within supply chain, logistics, or manufacturing industries.
* Education: Bachelor's or Master's degree in supply chain management, Data Science, Business Analytics, Statistics, or a related field.
* Technical Skills:
* Proficiency in data analysis tools such as Excel, Power BI, Tableau, or equivalent.
* Database Management: Experience with database management and querying (e.g., SQL) is an advantage.
* Supply Chain Knowledge: Knowledge of supply chain management systems (ERP, WMS) is a plus.
* Analytical Mindset: Strong problem-solving skills and ability to translate data into actionable insights.
* Communication Skills: Excellent written and verbal communication skills, with the ability to present findings clearly to non-technical stakeholders.
* Attention to Detail: High degree of accuracy and attention to detail when working with complex datasets.
* Languages: Advanced command of English and French or German.
Skillful Data Analyst Wanted