At a Glance
- Tasks: Analyse customer data to provide insights and support data-driven decisions.
- Company: Leading tech company focused on enhancing customer success.
- Benefits: Flexible working model, competitive salary, and great benefits.
- Why this job: Make a real impact by driving customer success through data insights.
- Qualifications: Strong data analytics and SQL skills, with experience in professional services.
- Other info: Collaborative environment with opportunities for growth and development.
The predicted salary is between 28800 - 43200 £ per year.
A leading technology company is seeking a Customer Data Analyst to work in Edinburgh. This role integrates with various teams to provide data insights that enhance customer success. Ideal candidates will have strong data analytics and SQL skills, with experience in professional services.
Responsibilities include:
- Developing customer-facing reports
- Identifying trends
- Supporting data-driven decisions
A flexible working model is offered, balancing remote and office work, with competitive salary and benefits.
Remote Customer Insights Data Analyst (UK) employer: Dayshape
Contact Detail:
Dayshape Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Customer Insights Data Analyst (UK)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on LinkedIn, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your data analytics projects. This is a great way to demonstrate your SQL prowess and analytical thinking to potential employers.
✨Tip Number 3
Prepare for those interviews! Research common interview questions for data analysts and practice your responses. Be ready to discuss how you've used data to drive decisions and improve customer success in past roles.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Remote Customer Insights Data Analyst (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analytics and SQL skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about customer insights and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Mindset: In your application, give examples of how you've used data to drive decisions in previous roles. We’re looking for candidates who can identify trends and provide actionable insights, so make sure to highlight those experiences!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Dayshape
✨Know Your Data Tools
Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used data analytics tools in previous roles, especially in professional services. This will show that you can hit the ground running.
✨Understand Customer Insights
Familiarise yourself with common customer insights metrics and trends. Think about how you can apply these insights to enhance customer success. Being able to discuss specific examples will impress the interviewers.
✨Prepare for Team Collaboration Questions
Since this role involves working with various teams, be prepared to talk about your experience collaborating with others. Have a few examples ready that showcase your ability to communicate effectively and support data-driven decisions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to customer data analysis or how they measure success in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.