My client, a leading provider of logistics and freight forwarding services, is looking to recruit a Supply Chain Analyst / Data Analyst
SALARY:
- £30k-£40k
- Twice yearly bonus
- Life assurance
- Healthcare
- 22 days annual leave increasing with length of service plus public and bank holidays
HOURS: 8.30 AM - 5 PM
ROLE: As a supply chain analyst / data analyst you will be responsible for:
- Conduct data gathering and analysis to support company's position to provide customized and innovative supply chain solutions to optimize supply chain performance and costs with a focus on enabling clients to achieve reductions in their operational costs, administrative workloads and inventory; whilst making improvements to their service, revenue and quality by leveraging the portfolio of Metro's products, services and technology offered.
- Strategically identify and utilize data to support internal and external customers and provide data insights to drive decisions.
- Contribute to operational excellence by developing and improving data quality, reporting and analytics and actively support and foster a culture of data integrity.
- Ability to perform high level solution design aligned with the requirements and suggest and validate various solution options for the requirements.
- Formulate solutions and build computation models and other solutions for specific business problems.
- Collect, analyse and understand complex datasets to support supply chain analytics. Identify insights and areas of opportunity to optimise supply chain
SKILLS AND EXPERIENCE
- Industrial Engineering/supply chain experience - Preferred but not essential
- Experience using advanced Excel functionalities, (complex formulas and functions, vba macros, excel models, pivot tables, v-look ups etc)
- Technical knowledge and experience in working with Business Intelligence Applications (PowerBI, Tableau, Looker, ThoughtSpot)
- Strong conceptual understanding in the Supply Chain Planning and Optimization
- Strong analytical, problem solving, troubleshooting skills
- Proficiency in query language SQL advantageous
- Data visualisation tools, ideally Power BI, Tableau, Looker