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For Companies At a Glance
- Tasks: Create stunning dashboards and analyse data to drive business decisions.
- Company: Leading security company in Newcastle with a focus on innovation.
- Benefits: Comprehensive benefits package and opportunities for professional growth.
- Why this job: Join a diverse team and make an impact through data visualisation.
- Qualifications: Strong analytical skills and advanced Power BI and SQL proficiency.
- Other info: Inclusive environment with great career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading security company in Newcastle upon Tyne seeks an experienced Data Analyst to develop data products and visualizations using Power BI and SQL.
Responsibilities include:
- Creating dashboards
- Analyzing business data
- Collaborating with stakeholders
The ideal candidate will have:
- Strong analytical skills
- Advanced proficiency in Power BI
- Solid SQL experience
This role offers a comprehensive benefits package upon probation and the opportunity for professional growth within a diverse and inclusive environment.
Data Analytics Lead: Power BI & SQL Dashboards in Newcastle upon Tyne employer: Verisure
Contact Detail:
Verisure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Lead: Power BI & SQL Dashboards in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at the company 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 of your best Power BI dashboards and SQL projects. We want to see what you can do, so make it easy for them to be impressed!
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common data analytics questions. We can even help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets noticed. Plus, we’re always looking for talented folks like you to join our team!
We think you need these skills to ace Data Analytics Lead: Power BI & SQL Dashboards in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and SQL. We want to see how you've used these tools in past roles, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Data Analytics Lead role. Share specific examples of your analytical skills and how you've collaborated with stakeholders.
Showcase Your Projects: If you’ve worked on any cool data visualisation projects, include them in your application. We love seeing real-world applications of your skills, especially if they involve dashboards or data products!
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!
How to prepare for a job interview at Verisure
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and SQL. Brush up on your skills by reviewing recent projects or creating sample dashboards. Being able to discuss specific features or functions will show your expertise and confidence.
✨Showcase Your Analytical Skills
Prepare to discuss how you've used data analysis to drive business decisions in the past. Think of examples where your insights led to tangible results. This will demonstrate your ability to add value to the company.
✨Understand the Company’s Needs
Research the security company and its current data challenges. Tailor your responses to show how your skills can help them achieve their goals. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Engage with Stakeholders
Since collaboration is key in this role, be ready to discuss how you’ve worked with different teams in the past. Highlight your communication skills and how you’ve translated complex data into actionable insights for stakeholders.
