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- Tasks: Analyse customer data to optimise delivery experiences and enhance operational performance.
- Company: Leading logistics tech company in the UK with a focus on innovation.
- Benefits: Generous benefits, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Over five years of experience, strong SQL skills, and effective communication abilities.
- Other info: Collaborative environment with cross-functional teams and dynamic challenges.
The predicted salary is between 43200 - 72000 £ per year.
A leading logistics technology company in the UK is seeking a Senior Data Analyst to optimize delivery experiences and analyze customer preferences. This role involves collaborating with cross-functional teams to derive insights from complex data and enhance operational performance metrics.
The ideal candidate will have over five years of experience, strong SQL and analytical skills, and the ability to communicate findings effectively. This position offers generous benefits and a hybrid workplace model.
Senior Data Analyst - End Customer Insights & Impact in City of London employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - End Customer Insights & Impact in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've used data to drive insights in past roles. We want to see your analytical prowess shine through!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data analysis projects, make sure to highlight them in your conversations. We love seeing real-world applications of your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to make an impact in the logistics tech space.
We think you need these skills to ace Senior Data Analyst - End Customer Insights & Impact in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and SQL skills. We want to see how your background aligns with optimising delivery experiences and analysing customer preferences.
Showcase Your Analytical Skills: In your application, give examples of how you've derived insights from complex data in the past. We love seeing real-world applications of your analytical prowess!
Communicate Clearly: Since this role involves collaborating with cross-functional teams, make sure your written communication is clear and concise. We need to know you can effectively share your findings with others.
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 don’t miss out on any important updates!
How to prepare for a job interview at Relay Technologies
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll be expected to have a deep understanding of data analysis techniques. Brush up on your SQL skills and be ready to discuss specific projects where you've optimised delivery experiences or analysed customer preferences. Prepare examples that showcase your analytical prowess.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be prepared to talk about your experience in collaboration. Think of instances where you’ve worked with different departments to derive insights from complex data. Highlight your communication skills and how you’ve effectively shared findings with non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your problem-solving abilities. Prepare to discuss challenges you've faced in previous roles and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your impact on operational performance metrics.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to data analysis and how they measure success in enhancing delivery experiences. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
