Supply chain Analyst

Jobgether; Österreich; Vor Ort; PEN 73.000 - 89.000; Vollzeit

Benefits dieser Stelle

Salary: $24,000

Employment: Full-time

Work Flexibility: Fully remote

Professional Growth: AI/ML, cloud tech

Cross-Functional Exposure

Technical exposure: Python, SQL, BI,云

Zusammenfassung

Jobgether is partnering with an Austria-based company to hire an early-career Supply Chain Analyst. You will analyze complex datasets, build predictive models with AI/ML, and collaborate across functions to improve inventory, demand planning, logistics, and supplier performance.

You’ll work with Python, SQL, and visualization tools, creating data-driven recommendations while growing technical and supply chain expertise in a dynamic environment.

Qualifikationen

• Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or related discipline.
• 1–3 years of relevant experience or academic projects in 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: procurement, logistics, inventory, and demand planning.
• Strong analytical and problem-solving abilities to translate findings into insights.
• Excellent written and verbal communication, with ability to present to non-technical stakeholders.
• Ability to collaborate across functions and work independently in a fast-paced environment.
• Curious, detail-oriented mindset with interest in tech and analytics.

Aufgaben

• Analyze large supply chain datasets to identify trends, risks, and cost-saving opportunities.
• Develop predictive models and optimization algorithms using AI/ML to support decisions.
• Collaborate with engineering and product teams to integrate analytics into platforms.
• Monitor KPIs and build dashboards to provide real-time visibility on performance.
• Support initiatives in inventory optimization, demand planning, logistics efficiency, and supplier performance.
• Work cross-functionally to translate business challenges into analytical solutions.
• Present findings and recommendations to leadership and stakeholders.
• Contribute to transformation and cost-improvement initiatives using data and automation.

Kenntnisse

Python

SQL

AI/ML

Data visualization

Tableau

Power BI

TensorFlow

PyTorch

AWS

Azure

GCP

Ausbildung

Bachelor's or Master's degree

Tools

Tableau

Power BI

TensorFlow

PyTorch

AWS

Azure

GCP

Jobbeschreibung

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 Austria.

This role offers an exciting opportunity for an early-career analyst to apply data and technology to real-world supply chain challenges.
You will analyze complex datasets to uncover trends, risks, and opportunities that can improve operational performance.
Working across Supply Chain, Finance, Procurement, R&D, engineering, and product teams, you will turn insights into practical recommendations.
Your work will contribute to cost improvement, inventory optimization, demand planning, logistics efficiency, and supplier performance.
You will also develop predictive models and optimization solutions using modern AI and machine learning techniques.
The position combines analytical problem-solving with hands-on work in Python, SQL, visualization, cloud platforms, and data-driven decision-making.
It is well suited to a curious, detail-oriented professional who wants to grow their technical and supply chain expertise in a dynamic environment.

Accountabilities

• 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.

Benefits

• 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.

How Jobgether works:

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.