Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collect and clean data, analyse property trends, and create visual dashboards.
- Company: Leading property analytics company in Birmingham with a focus on innovation.
- Benefits: Gain hands-on experience, enhance your skills, and work in a dynamic environment.
- Other info: Great opportunity for career growth in the analytics field.
- Why this job: Perfect for data enthusiasts wanting to tell stories through insights and visuals.
- Qualifications: Passion for data and ability to present insights clearly.
The predicted salary is between 20000 - 30000 £ per year.
A leading property analytics company in Birmingham is seeking candidates to join their analytics team focused on data storytelling, Excel, and business intelligence. The role involves collecting and cleaning data for reports, analyzing property trends, and creating visual dashboards using Excel or Power BI. Ideal candidates should have a passion for data and the ability to present insights clearly. This is a great opportunity to enhance your skills in a dynamic environment.
Data Analytics Intern: Insights, Dashboards & Reporting employer: Webuyprop
Contact Detail:
Webuyprop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Intern: Insights, Dashboards & Reporting
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially if you've used Excel or Power BI. This will help us see your passion for data storytelling in action.
✨Tip Number 3
Prepare for the interview by brushing up on common data analytics questions. Think about how you can present your insights clearly, just like you would in a report. We want to see your analytical thinking!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analytics Intern: Insights, Dashboards & Reporting
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us know why you're passionate about data analytics. Share any relevant experiences or projects that highlight your enthusiasm and skills in data storytelling.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with Excel, Power BI, and any data cleaning or analysis you've done. We want to see how you fit into our team!
Be Clear and Concise: In your written application, clarity is key! Use straightforward language to present your insights and experiences. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to apply 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 analytics team.
How to prepare for a job interview at Webuyprop
✨Know Your Data Tools
Familiarise yourself with Excel and Power BI before the interview. Be ready to discuss your experience with these tools, including any specific projects where you used them to create dashboards or reports.
✨Showcase Your Data Storytelling Skills
Prepare examples of how you've turned raw data into compelling narratives. Think about how you can explain complex trends in a simple way, as this is key for the role.
✨Practice Common Interview Questions
Anticipate questions related to data analysis and reporting. Be prepared to explain your process for collecting and cleaning data, as well as how you approach analysing property trends.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company and the role. Inquire about the types of projects you'll be working on or how the team collaborates on data storytelling.