Digital Logistics Data Insights Specialist
Há 4 dias
As a leader in the logistics industry, Kuehne + Nagel is accelerating digital technologies for its global customers by opening a new IT Centre in Porto, Portugal. This strategic move aims to develop mission-critical products, e-solutions, and digital services that drive business growth and efficiency.
Your Role: As a Digital Logistics Data Insights Specialist (m/f/d), you will be part of a team responsible for developing digital logistics processes aligned with the company's strategy. Your key responsibilities include:
- Data Collection & Management
You will gather, clean, and maintain large datasets related to logistics operations, including transportation, warehousing, inventory, and supply chain performance. Ensure data accuracy and integrity by performing regular audits and data validation checks.
- Data Analysis
Analyze logistics data to identify trends, patterns, and opportunities for improvement. Develop and maintain dashboards, reports, and visualizations to present data insights to stakeholders. Utilize statistical tools and software to interpret data and provide actionable recommendations.
- Performance Monitoring
Monitor key performance indicators (KPIs) related to logistics activities, such as delivery times, transportation costs, inventory levels, and order accuracy. Identify areas of inefficiency and recommend process improvements to optimize logistics operations.
- Reporting
Prepare regular and ad-hoc reports for management, highlighting key findings, trends, and areas for improvement. Communicate complex data clearly and concisely to non-technical stakeholders.
- Collaboration
Work closely with cross-functional teams, including supply chain, operations, and IT, to ensure data-driven decision-making across the organization. Collaborate with IT to improve data collection methods and tools and implement new analytics solutions.
- Process Improvement
Identify and recommend new technologies or tools to enhance data analysis capabilities and streamline logistics processes. Support the implementation of new systems and tools by providing data-driven insights and conducting training sessions for staff.
- Compliance & Risk Management
Ensure compliance with industry regulations and company data handling and reporting policies. Identify potential risks in logistics operations based on data analysis and suggest mitigation strategies.
Requirements:
- Bachelor's degree in Data Science, Statistics, Logistics, Supply Chain Management, or a related field
- Proven experience (2+ years) in data analysis, preferably within a logistics, supply chain, or transportation environment
- Proficiency in data analysis tools like SQL, Excel, Python, R, or other statistical software
- Experience with data visualization tools like Tableau, Power BI, or similar
- Experience with ERP systems, transportation management systems (TMS), or warehouse management systems (WMS) - preferred
- Familiarity with machine learning or predictive analytics in a logistics context - preferred
- Advanced Excel skills (macros, pivot tables, complex formulas) - preferred
- Strong analytical and problem-solving skills with a keen eye for detail
- Ability to work independently and as part of a team in a fast-paced environment
- Knowledge of logistics and supply chain concepts and best practices is highly desirable
- Excellent communication skills, both written and verbal
Salary Estimate:
$70,000 - $90,000 per annum, depending on experience
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