At a Glance
- Tasks: Analyse data and enhance models to drive business insights.
- Company: Join Kantar, a leader in market research and analytics.
- Benefits: Enjoy flexible hybrid working, competitive salary, and great employee perks.
- Other info: Great opportunities for career growth and development.
- Why this job: Make an impact with your analytical skills in a dynamic team.
- Qualifications: Strong analytical skills, SQL experience, and knowledge of Python or R.
The predicted salary is between 30000 - 40000 £ per year.
Kantar is seeking a Data Analyst for their Panels Performance & Business Intelligence team in Reading, UK. The role involves maintaining and enhancing analytical models, analyzing data outputs, and collaborating with teams to ensure robust solutions.
Ideal candidates will exhibit:
- Strong analytical skills
- Experience with SQL
- Knowledge of Python or R
This position offers flexible hybrid working, competitive salary, and various employee benefits including healthcare options and parental leave.
Data Analyst: Insights, Models & BI (Hybrid) in Reading employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Insights, Models & BI (Hybrid) in Reading
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Kantar 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 analytical models and data insights. This is your chance to demonstrate how you can add value to Kantar's team.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL, Python, or R skills before the interview. We want to be ready to tackle any technical questions that come our way.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly.
We think you need these skills to ace Data Analyst: Insights, Models & BI (Hybrid) in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with SQL, Python, or R. We want to see how your background aligns 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 excited about the Data Analyst position at Kantar and how you can contribute to the Panels Performance & Business Intelligence team. Keep it engaging and personal.
Showcase Your Analytical Mindset: In your application, give examples of how you've tackled data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, so share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Kantar
✨Know Your Data Tools
Make sure you brush up on your SQL skills and have a solid understanding of Python or R. Be ready to discuss how you've used these tools in past projects, as Kantar will be looking for practical examples of your analytical prowess.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical thinking during the interview. Think of specific instances where you've tackled complex data problems or improved existing models. This will show Kantar that you can contribute to their Panels Performance & Business Intelligence team effectively.
✨Collaborate Like a Pro
Since the role involves working with various teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've worked with others to develop robust solutions, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current projects the team is working on or how they measure success in their analytical models. This shows your genuine interest in the role and helps you understand if Kantar is the right fit for you.