Supply Chain Data Analyst

Due to business growth, we are seeking a highly motivated and detail-oriented Supply Chain Data Analyst to join your international client to support the Supply Chain Director in leveraging data analytics to drive strategic decision-making.

The ideal candidate will have a strong passion for data analysis, with a minimum of 3 years of experience post-university, and an engineering or STEM degree.

The role will involve designing and implementing processes involved in relation to data processing and analysis of supply chain activities therefore prior experience in a similar role is a must.

Strong experience with Excel, SQL, Power BI and Tableau is must as you will be required to use these daily to report back to the senior leadership team.

Key Responsibilities and Specific Accountabilities:

• Data Analytics and Trend Analysis

Utilise advanced data analytics techniques to analyse trends, identify opportunities for cost savings, and optimise supply chain operations.

• Spend Aggregation and Tracking

Aggregate and analyse spend data across different business units to inform strategic sourcing decisions.

• Savings Tracking

Monitor and report on cost savings initiatives, ensuring alignment with business objectives.

• Technology Integration

Implement and utilise the latest data analytics tools and technologies to enhance data-driven decision-making.

• Collaboration

Work closely with supply chain and finance teams to ensure data insights are actionable and aligned with business goals.

• Reporting and Communication

Develop and present reports to senior leadership on key performance indicators (KPIs) such as cost reduction, supplier performance, and inventory management.

• Exploration of AI Applications

Show curiosity and interest in exploring how AI can enhance supply chain operations, including predictive analytics, demand forecasting, and inventory optimisation.

Qualifications / Skills

• Education

Engineering or STEM degree from a reputable university.

• Experience

2+ years of experience in data analysis, preferably in a supply chain or related field.

• Skills
  
  
  
  • Strong analytical and problem-solving skills.
  
  
  • Proficiency in data analytics tools such as Excel, SQL, and data visualization software (e.g., Tableau, Power BI).
  
  
  • Experience with data management systems and ability to learn new technologies.
  
  
  • Excellent communication and presentation skills.
  
  
  • Ability to work in a fast-paced environment with multiple stakeholders.
  
  
  • Curiosity about AI and its applications in manufacturing and supply chain, with a willingness to explore and implement AI-driven solutions.