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- Tasks: Lead a team to deliver impactful analytics for supply chain and logistics.
- Company: Prominent retail business in Greater London with a dynamic work culture.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in operational efficiency within a fast-paced environment.
- Qualifications: Strong SQL and Python skills, plus experience with Power BI and large data sets.
- Other info: Join a collaborative team and drive significant change in the retail sector.
The predicted salary is between 43200 - 72000 £ per year.
A prominent retail business in Greater London is seeking an Analytics Manager for its Supply Chain and Logistics team. In this leadership role, you will manage a small team, oversee analytics delivery, and engage with stakeholders to enhance operational efficiency.
The ideal candidate will possess strong skills in SQL and Python, along with proficiency in Power BI, and experience in large-scale data environments. This position promises high impact within a fast-paced organization.
Analytics Manager, Supply Chain & Logistics (Hybrid – London) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager, Supply Chain & Logistics (Hybrid – London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in supply chain and logistics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with SQL, Python, and Power BI. This will give you an edge during interviews and show that you can deliver results.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online resources. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes put you ahead of the competition. Let’s get you that Analytics Manager role!
We think you need these skills to ace Analytics Manager, Supply Chain & Logistics (Hybrid – London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Analytics Manager role. Highlight your SQL, Python, and Power BI expertise, as well as any leadership experience you have in analytics delivery.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our Supply Chain and Logistics team. Share specific examples of how you've enhanced operational efficiency in previous roles and how you can bring that to our fast-paced environment.
Showcase Your Data Skills: Since this role involves large-scale data environments, be sure to mention any relevant projects or experiences where you've successfully managed data analytics. We want to see your problem-solving skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our team!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in large-scale data environments. This will show that you’re not just familiar with the tools but can leverage them effectively.
✨Showcase Your Leadership Skills
As an Analytics Manager, you'll be leading a team. Prepare examples of how you've successfully managed teams or projects in the past. Highlight your approach to mentoring and developing team members, as well as how you handle challenges within a team setting.
✨Engage with Stakeholders
Since this role involves engaging with stakeholders, think of instances where you've successfully communicated complex analytics insights to non-technical audiences. Practice explaining your analytical findings in simple terms, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Understand the Business Context
Research the retail business and its supply chain operations. Familiarise yourself with current trends and challenges in the industry. Being able to discuss how analytics can enhance operational efficiency in their specific context will set you apart from other candidates.
