At a Glance
- Tasks: Analyse data to drive insights and improvements for major projects.
- Company: Leading technology services provider with a focus on innovation.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact through data-driven decisions.
- Qualifications: Strong Excel skills and experience with QlikView or Power BI.
- Other info: Enjoy a collaborative environment with occasional office meet-ups.
The predicted salary is between 30000 - 50000 £ per year.
A leading technology services provider is looking for a Data Analyst to join their Network Services division. This hybrid position allows for flexible remote working with occasional office attendance in Warwick and Bridgwater.
The successful candidate will utilize their data analysis skills along with tools like QlikView and Power BI to drive insights and improvements. A strong background in Excel, particularly with formulas and Pivot Tables, is crucial.
Data Analyst: Hybrid, Insight‑Driven for Major Projects employer: Telent Technology Services
Contact Detail:
Telent Technology Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Hybrid, Insight‑Driven for Major Projects
✨Tip Number 1
Network, network, network! Reach out to people in the industry on LinkedIn or at local meetups. You never know who might have a lead on that perfect Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using QlikView and Power BI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Excel skills. Be ready to discuss how you've used formulas and Pivot Tables in past projects. Confidence in your abilities can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst: Hybrid, Insight‑Driven for Major Projects
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills and experience with tools like QlikView and Power BI. We want to see how your background aligns with the role, so don’t be shy about showcasing your Excel prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to our Network Services division. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any major projects that involved data analysis, make sure to mention them! We love seeing real-world examples of how you've used your skills to drive insights and improvements.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Telent Technology Services
✨Know Your Tools Inside Out
Make sure you’re well-versed in QlikView and Power BI. Brush up on their features and functionalities, and be ready to discuss how you've used them in past projects. This will show your potential employer that you can hit the ground running.
✨Excel is Your Best Friend
Since a strong background in Excel is crucial, practice using formulas and Pivot Tables. Be prepared to demonstrate your skills or even solve a problem on the spot. This will highlight your analytical abilities and attention to detail.
✨Prepare Insightful Questions
Think of questions that show your interest in the company’s projects and how data analysis drives their success. This not only demonstrates your enthusiasm but also gives you a chance to assess if the role aligns with your career goals.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where your data analysis led to actionable insights or improvements. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.