Artificial Intelligence jobs in United Kingdom

Business Need / Purpose of Role:

We are seeking a highly motivated and detail-oriented Supply Chain Data Analyst to support our Supply Chain Director in leveraging data analytics to drive strategic decision-making. The ideal candidate will have a strong passion for data analysis, a couple of years of experience post-university, and an engineering or STEM degree. This role involves dual reporting to both the Supply Chain Director and Divisional Finance Leadership.

Objectives & Measurement

Key Responsibilities and Specific Accountabilities:

1. Data Analytics and Trend Analysis: Utilise advanced data analytics techniques to analyse trends, identify opportunities for cost savings, and optimise supply chain operations.
2. Spend Aggregation and Tracking: Aggregate and analyse spend data across different business units to inform strategic sourcing decisions.
3. Savings Tracking: Monitor and report on cost savings initiatives, ensuring alignment with business objectives.
4. Technology Integration: Implement and utilise the latest data analytics tools and technologies to enhance data-driven decision-making.
5. Collaboration: Work closely with supply chain and finance teams to ensure data insights are actionable and aligned with business goals.
6. Reporting and Communication: Develop and present reports to senior leadership on key performance indicators (KPIs) such as cost reduction, supplier performance, and inventory management.
7. 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.

Job Knowledge / Education and Qualifications

The details described here are representative of those that are encountered by or must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The Ideal candidate should have:

1. Education: Engineering or STEM degree from a reputable university.
2. Experience: 2+ years of experience in data analysis, preferably in a supply chain or related field.
3. 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.