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- Tasks: Transform retail data into insights and develop engaging dashboards.
- Company: Leading manufacturer of small domestic appliances with a focus on innovation.
- Benefits: Hybrid work, performance bonus, and access to an on-site gym.
- Why this job: Make a real impact by turning data into actionable insights in a dynamic environment.
- Qualifications: 1-3 years of experience in data analysis and proficiency in Qlik.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 30000 - 42000 £ per year.
A leading manufacturer of small domestic appliances in Datchet is seeking a passionate Data Analyst to transform retail data into insights. The ideal candidate will have 1-3 years of experience and be skilled in data visualization using tools like Qlik.
Responsibilities include:
- Developing dashboards
- Ensuring data quality
- Collaborating with stakeholders
This full-time position offers hybrid working with great benefits, including a performance bonus and on-site gym access.
Data Analyst – Qlik Dashboards & Hybrid Work in Datchet employer: Groupe SEB
Contact Detail:
Groupe SEB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Qlik Dashboards & Hybrid Work in Datchet
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Qlik or in data analysis. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and data visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when developing dashboards and how you ensure data quality.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of great opportunities waiting for passionate candidates like you. Plus, it’s the best way to stay updated on new roles.
We think you need these skills to ace Data Analyst – Qlik Dashboards & Hybrid Work in Datchet
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data visualisation tools like Qlik. We want to see how your skills align 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 transforming retail data into insights and how your background makes you a great fit for our team at StudySmarter.
Showcase Your Collaboration Skills: Since the role involves working with stakeholders, mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Groupe SEB
✨Know Your Data Visualisation Tools
Make sure you brush up on your Qlik skills before the interview. Be ready to discuss specific projects where you've used Qlik to create dashboards and how those visualisations helped stakeholders make informed decisions.
✨Showcase Your Analytical Mindset
Prepare examples of how you've transformed raw data into actionable insights. Think about times when your analysis led to significant improvements or changes in a project, and be ready to share those stories.
✨Understand the Company’s Products
Research the company’s small domestic appliances and their market position. Being able to discuss how data analysis can impact product performance or customer satisfaction will show your genuine interest in the role.
✨Prepare for Collaboration Questions
Since the role involves working with various stakeholders, think of examples that highlight your teamwork skills. Be ready to explain how you’ve effectively communicated complex data findings to non-technical team members.
