At a Glance
- Tasks: Analyse and visualise data to impact global logistics and shipping markets.
- Company: Join a collaborative team focused on professional growth in global trade analytics.
- Benefits: Enjoy a negotiable salary up to £38,000 and flexible work arrangements.
- Other info: Refer friends for rewards through our fantastic referral schemes!
- Why this job: Make a real-world impact while working with influential data sources in logistics.
- Qualifications: 3+ years in data analytics, high Excel proficiency, and basic SQL knowledge required.
The predicted salary is between 28800 - 42000 £ per year.
Before applying for this role, please read the following information about this opportunity found below.
Location: Woking - 3 days in the office
Salary negotiable depending on experience up to £38,000
Are you a data driven thinker with a curiosity for global trade, shipping markets, or economic trends? We’re looking for a Data Analyst who wants to work with one of the most influential data sources in global logistics. This is a unique chance to turn complex global movements into real world business impact.
Working for this company means being part of a team that truly values collaboration, support, and professional growth where guidance is always available, and you're never on your own.
In this role you’ll analyse and visualise this data to help our teams (and clients) answer critical questions. The go-to source for tracking container volumes and freight price trends across 125,000+ global trade routes.
Responsibilities:
- Monthly Trades Reports
- Internal Analytics Report
- Gaining in depth knowledge of high value trades
- Process improvement via innovative report production and automation
- Client Understanding: Gain an in-depth understanding of member lines, their scope within our 49 Trades, investigate opportunities for membership growth
- Client Requests: Fast and accurate responses to client queries/data requests
Your experience and Skills:
- Has 3+ years in Data analytics role
- A high level of Excel proficiency is a must
- Experience of VB would be highly advantageous
- Basic SQL knowledge with the curiosity to grow
- Logical problem-solving skills
- Experience of supply chain or logistics would be advantageous
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Data Analyst - Logistics/Supply Chain employer: Datatech Analytics
Join a dynamic team in Woking where your analytical skills will directly influence global logistics and supply chain operations. Our collaborative work culture prioritises professional growth, offering ample opportunities for skill enhancement and career advancement, all while enjoying the benefits of a supportive environment. With a competitive salary and unique referral schemes, we ensure that your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Logistics/Supply Chain
✨Tip Number 1
Familiarise yourself with the latest trends in global trade and logistics. Understanding current market dynamics will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your Excel skills, especially advanced functions and data visualisation techniques. Being able to showcase your proficiency in Excel during discussions can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the logistics and supply chain industry. Engaging with others in the field can provide valuable insights and potentially lead to referrals or recommendations for the role.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analytics to drive business decisions in previous roles. Real-world applications of your skills will resonate well with the hiring team.
We think you need these skills to ace Data Analyst - Logistics/Supply Chain
Some tips for your application 🫡
Understand the Role:Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Analyst position. Pay special attention to the skills mentioned, such as Excel proficiency and SQL knowledge.
Tailor Your CV:Customise your CV to highlight relevant experience in data analytics, particularly in logistics or supply chain. Use specific examples that demonstrate your problem-solving skills and any experience with report production or automation.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data analysis and your curiosity about global trade and shipping markets. Mention how your skills align with the company's needs and express your enthusiasm for contributing to their team.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analytics, particularly in logistics or supply chain. Highlight specific projects where you've used Excel and any automation tools, as this will demonstrate your proficiency and relevance to the role.
✨Understand the Industry
Research global trade and shipping markets before the interview. Being able to discuss current trends or challenges in logistics will show your genuine interest and understanding of the field, making you a more attractive candidate.
✨Prepare for Problem-Solving Questions
Expect questions that assess your logical problem-solving skills. Practice articulating your thought process when faced with data-related challenges, as this will showcase your analytical mindset and ability to think critically.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data sources and how they impact decision-making. This not only shows your enthusiasm for the role but also your desire to contribute meaningfully to the team.
