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- Tasks: Analyze data trends to optimize supply chain operations and support strategic decisions.
- Company: Join a forward-thinking company focused on leveraging data analytics for supply chain success.
- Benefits: Enjoy competitive pay, growth opportunities, and a collaborative work environment.
- Why this job: Be part of a dynamic team exploring AI solutions in supply chain management.
- Qualifications: Must have an engineering or STEM degree and 2+ years of data analysis experience.
- Other info: Work closely with senior leadership and contribute to impactful cost-saving initiatives.
The predicted salary is between 30000 - 42000 £ per year.
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: Including but not limited to: * 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. 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: * 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
Supply Chain Data Analyst employer: Complete Talent Services Ltd
Contact Detail:
Complete Talent Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Supply Chain Data Analyst
✨Tip Number 1
Familiarize yourself with the latest data analytics tools like SQL, Excel, and visualization software such as Tableau or Power BI. Being proficient in these tools will not only enhance your analytical skills but also demonstrate your readiness for the role.
✨Tip Number 2
Showcase your curiosity about AI applications in supply chain management. Research current trends and be prepared to discuss how AI can optimize operations during your interview, as this aligns with the company's focus on innovative solutions.
✨Tip Number 3
Network with professionals in the supply chain and finance sectors. Attend industry events or join relevant online forums to connect with potential colleagues and gain insights into the challenges they face, which can help you tailor your approach.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive decision-making in previous roles. Highlighting your experience with trend analysis and cost-saving initiatives will resonate well with the hiring team.
We think you need these skills to ace Supply Chain Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your engineering or STEM degree and relevant experience in data analysis. Emphasize your proficiency in tools like Excel, SQL, and data visualization software, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for data analytics and how it drives strategic decision-making. Mention specific examples of how you've used data to optimize operations or achieve cost savings in previous roles.
Showcase Your Communication Skills: Since the role involves reporting and presenting to senior leadership, highlight your written and verbal communication skills. Provide examples of reports you've created or presentations you've delivered that demonstrate your ability to convey complex data clearly.
Demonstrate Curiosity About AI: Mention any experiences or projects where you've explored AI applications in supply chain or data analysis. This shows your willingness to innovate and adapt to new technologies, which is a key competency for this position.
How to prepare for a job interview at Complete Talent Services Ltd
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analysis during the interview. Share specific examples of how you've used data analytics in past roles to drive decision-making and improve processes.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with data analytics tools like Excel, SQL, and visualization software such as Tableau or Power BI. You might even be asked to solve a problem on the spot, so brush up on your technical skills!
✨Highlight Collaboration Skills
Since this role involves working closely with supply chain and finance teams, emphasize your teamwork abilities. Share examples of how you've successfully collaborated with others to achieve common goals.
✨Curiosity About AI Applications
Show your interest in AI and its potential applications in supply chain management. Discuss any relevant projects or research you've done related to predictive analytics or demand forecasting to demonstrate your forward-thinking mindset.
