About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Supply Chain Analyst based in Czechia.
Responsibilities
- Analyze large and complex supply chain datasets to identify trends, operational risks, cost-saving opportunities, and performance improvement areas.
- Develop predictive models and optimization algorithms using AI and machine learning techniques to support supply chain decision-making.
- Collaborate with engineering and product teams to integrate analytics, models, and data-driven capabilities into supply chain platforms.
- Monitor key performance indicators and build dashboards using data visualization tools to provide clear, real-time visibility into operational performance.
- Support strategic initiatives involving inventory optimization, demand planning, logistics efficiency, procurement, supplier performance, and waste reduction.
- Work cross-functionally with Supply Chain, Finance, Procurement, R&D, engineering, and other stakeholders to translate business challenges into analytical solutions.
- Present analytical findings, insights, and recommendations to leadership and business stakeholders to support informed decision-making.
- Contribute to broader transformation and cost-improvement initiatives by applying data, automation, and analytical techniques to supply chain processes.
Requirements
- Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or a related discipline.
- 1–3 years of relevant professional experience, academic project experience, or comparable hands-on exposure to supply chain analytics or data analysis.
- Strong technical capabilities in Python, SQL, and data visualization platforms such as Tableau or Power BI.
- Experience or familiarity with AI/ML frameworks including TensorFlow or PyTorch.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Solid understanding of supply chain fundamentals, including procurement, logistics, inventory management, and demand planning.
- Strong analytical and problem-solving abilities, with the capacity to work with large datasets and translate findings into actionable business insights.
- Excellent written and verbal communication skills, including the ability to present technical analysis clearly to non-technical stakeholders.
- Ability to collaborate effectively across multiple functions and work independently when required.
- Comfortable working in a fast-paced, evolving environment with a strong focus on results, learning, and continuous improvement.
- Curious and detail-oriented mindset with a genuine interest in applying technology and analytics to operational challenges.
Conditions
- Salary: $24,000.
- Employment: Full-time position.
- Work Flexibility: Fully remote work arrangement.
- Professional Growth: Opportunity for an early-career professional to strengthen expertise across supply chain analytics, data science, AI/ML, and cloud technologies.
- Cross-Functional Exposure: Work closely with Supply Chain, Finance, Procurement, R&D, engineering, product, and business stakeholders.
- Technology Exposure: Hands-on opportunities involving Python, SQL, Tableau, Power BI, AI/ML frameworks, and major cloud platforms.
- Business Impact: Contribute to strategic cost improvement, inventory, demand planning, logistics, procurement, and supply chain transformation initiatives.
- Dynamic Environment: Join a fast-paced setting where analytical thinking, innovation, and data-driven decision-making are encouraged.