Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collect and analyse data, develop dashboards, and collaborate with stakeholders.
- Company: Join Intelligent Data Collection, a forward-thinking team in Maidenhead.
- Benefits: Competitive salary up to £29k, annual leave, pension, and performance bonuses.
- Other info: Full-time role with opportunities for growth in a dynamic environment.
- Why this job: Make an impact by aligning data solutions with real business needs.
- Qualifications: Proficiency in SQL, Excel, Python, and strong analytical skills.
The predicted salary is between 29000 - 29000 £ per year.
Intelligent Data Collection is seeking a Data Analyst to join their team in Maidenhead, UK. The role involves collecting and analyzing data, developing dashboards, and collaborating with stakeholders to align data solutions with business needs.
Ideal candidates will have:
- Proven experience
- Proficiency in SQL, Excel, and Python
- Excellent analytical skills
This full-time position offers a competitive salary up to £29k, annual leave, a workplace pension, and bonuses tied to company performance.
Hybrid Data Analyst in Maidenhead — Dashboards & Insights employer: Intelligent Data Collection
Contact Detail:
Intelligent Data Collection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst in Maidenhead — Dashboards & Insights
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Intelligent Data Collection on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving dashboards. This will help us demonstrate your expertise in SQL, Excel, and Python during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data analyst interview questions and scenarios. We can even do mock interviews with friends to build confidence and refine our answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how our skills align with the role.
We think you need these skills to ace Hybrid Data Analyst in Maidenhead — Dashboards & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Excel, and Python in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your analytical skills align with the job description and how you can contribute to our team at Intelligent Data Collection.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role of a Data Analyst.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position without any hiccups!
How to prepare for a job interview at Intelligent Data Collection
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data or create dashboards. This will show that you not only have the technical skills but also practical experience.
✨Understand the Business Needs
Research Intelligent Data Collection and their business model. Think about how data solutions can align with their goals. During the interview, demonstrate your understanding of how data insights can drive business decisions, which will impress the interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practice articulating your thought process clearly. This will help you showcase your analytical skills and how you approach data challenges in a collaborative environment.
✨Showcase Your Collaboration Skills
Since the role involves working with stakeholders, be prepared to discuss how you've successfully collaborated in past roles. Share examples of how you’ve communicated complex data insights to non-technical team members, as this will highlight your ability to bridge the gap between data and business needs.