Remote Supply Chain Data Analyst - AI-Driven Optimization

Jobgether; Ireland; On-site; EUR 28,000 - 42,000; Full time

Benefits offered by this job

Salary $24,000

Full-time

Fully remote

Professional growth

Cross-functional exposure

Tech exposure

Business impact

Dynamic environment

Job summary

Jobgether is seeking an early‑career Supply Chain Analyst based in Ireland. You will apply data and technology to supply chain challenges, analyzing complex datasets to find trends, risks, and cost-saving opportunities.

You will build predictive models, optimize inventories, and monitor KPIs while collaborating with cross‑functional teams to implement data‑driven improvements. The role emphasizes growth in analytics, AI/ML, and cloud skills.

Qualifications

• Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or related field.
• 1–3 years of relevant experience in supply chain analytics or data analysis.
• Strong Python, SQL and data visualization skills; familiarity with AI/ML concepts.

Responsibilities

• Analyze large, complex supply chain data to identify trends, risks, and opportunities.
• Develop predictive models and optimization algorithms using AI/ML techniques.
• Collaborate with engineering and product teams to integrate analytics into platforms.
• Create dashboards with real‑time visibility into KPI performance.
• Support inventory optimization, demand planning, logistics efficiency and procurement.
• Translate business challenges into analytical solutions across functions.
• Present findings and recommendations to leadership for decision making.
• Contribute to transformation initiatives with data, automation and analytics.

Skills

Python

SQL

Data visualization

Education

Bachelor's or Master's degree in related field

Tools

Tableau

Power BI

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Jobgether is seeking an early‑career Supply Chain Analyst based in Ireland. You will apply data and technology to supply chain challenges, analyzing complex datasets to find trends, risks, and cost-saving opportunities.

You will build predictive models, optimize inventories, and monitor KPIs while collaborating with cross‑functional teams to implement data‑driven improvements. The role emphasizes growth in analytics, AI/ML, and cloud skills.