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- Tasks: Analyse data to uncover insights and improve panel operations.
- Company: Join Kantar, a leading AI-native marketing data and analytics business.
- Benefits: Flexible hybrid working, competitive salary, 25 days leave, and healthcare options.
- Other info: Diverse team culture with opportunities for growth and development.
- Why this job: Make a real impact by turning data into actionable insights for top brands.
- Qualifications: Strong analytical skills, experience with SQL, Python or R, and a collaborative mindset.
The predicted salary is between 35000 - 45000 £ per year.
Kantar is the world’s leading AI-native marketing data and analytics business and an indispensable brand partner to the world’s top companies. We combine the most meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act. We help clients understand what has happened and why and how to shape the marketing strategies that shape their future. At Kantar, you’ll join a team that sits at the heart of how data becomes decisions.
As a Data Analyst in our Panels Performance & Business Intelligence team, you’ll strengthen the analytical foundations that underpin our panel solutions. Working closely with colleagues across data science, engineering, technology and our Global Delivery Centres, you’ll help ensure our models are robust, scalable and genuinely useful for clients and internal teams alike. This role is ideal if you enjoy combining analytical thinking with practical delivery – taking models from idea to production, spotting opportunities for improvement, and explaining complex findings in a way that others can act on.
Why this job is important
We’re known for our data. Help us turn it into insight that makes a real difference.
What you’ll be doing
- Maintaining and improving analytical models used in day-to-day panel operations
- Analysing model outputs to identify performance issues and opportunities to enhance results
- Working with global delivery and technology teams to support production‑ready data models and BI solutions
- Running statistical and exploratory analyses to uncover actionable insights
- Communicating analytical findings clearly to both technical and non-technical colleagues
The ideal skills & experience
- Strong analytical and problem‑solving skills, with a natural curiosity for data
- Experience using SQL and at least one analytical language such as Python or R
- A solid understanding of statistics and machine learning fundamentals
- Experience working with data transformation or ETL tools (DBT is a plus)
- Confidence explaining technical concepts to non-technical audiences
- A collaborative mindset and comfort working with distributed, cross‑functional teams
What’s in it for you
- Flexible hybrid working (two to three days in the office)
- 25 days leave, 2 days paid for volunteering and life event leave
- Competitive salary and bonus (bonus dependent on role)
- Company pension
- Enhanced parental leave
- Healthcare options
- Wide range of flexible benefits
You’ll be joining our Profiles division, home to specialists in survey design, sampling and data science. With the world’s largest audience network (over 170 million people), we’re trusted by many of the world’s leading brands to provide amazing insights from real people.
What about Kantar itself? Well, we shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And if we combine the expertise of our people with the latest AI technology, we can really help brands discover some amazing insights. And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that works for them. We encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others with us.
Data Analyst in Reading employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst 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 you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and analytical skills. Be ready to discuss how you've used data to solve problems in the past. We want to see your thought process and how you tackle challenges!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. This is key when working with non-technical colleagues, so make sure you can break it down without losing the essence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your analytical skills, experience with SQL, and any work with Python or R. We want to see how your background aligns with what we do at Kantar!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Keep it concise but make sure to show off your personality and enthusiasm for the role.
Showcase Your Analytical Projects: If you've worked on any relevant projects, whether in school or professionally, be sure to mention them. We love seeing real examples of how you've used data to solve problems or uncover insights. It shows us your practical experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Kantar
✨Know Your Data Inside Out
Before the interview, dive deep into Kantar's work and their approach to data analytics. Familiarise yourself with their methodologies and the types of data they handle. This will not only show your genuine interest but also help you articulate how your skills can contribute to their goals.
✨Brush Up on Your Technical Skills
Make sure you're comfortable with SQL, Python, or R, as these are crucial for the role. Prepare to discuss specific projects where you've used these tools, and be ready to solve a technical problem on the spot. Practising common data analysis scenarios can give you an edge.
✨Communicate Clearly and Confidently
Since you'll need to explain complex findings to non-technical colleagues, practice simplifying your explanations. Use examples from past experiences where you successfully communicated analytical insights. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Show Your Collaborative Spirit
Kantar values teamwork, so be prepared to discuss how you've worked in cross-functional teams before. Share examples that highlight your collaborative mindset and how you’ve contributed to achieving shared goals. This will resonate well with their emphasis on working closely with various teams.