Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data, optimise models, and collaborate on innovative analytics projects.
- Company: Kantar, a leading AI-native marketing data and analytics business.
- Benefits: Hybrid work model, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team to make impactful data-driven decisions.
- Qualifications: Experience with SQL, Python, and a passion for data analytics.
- Other info: Collaborative environment that values diversity and innovation.
The predicted salary is between 30000 - 50000 ÂŁ 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 meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act. We go beyond the obvious, using intelligence, passion, and creativity to inspire new thinking while fostering an inclusive and equitable environment.
As a Data Analyst within the Panel Performance & Business Intelligence team, you will play a pivotal role in strengthening our data products, insights, and operational analytics engine. You will support the lifecycle of analytical models—from design to productionization—working closely with the rest of the panels performance & business intelligence team, Kantar’s Global Delivery Centres, data & software engineering team and technology teams to operationalize data models and support the panel solutions infrastructure.
Key Responsibilities
- Maintain and optimise existing models for reliable day-to-day operation.
- Analyse model outputs to identify weaknesses and improvement opportunities.
- Work closely with Global Delivery Centres (GDC) to productionize data models and support BI needs.
- Collaborate with software engineering and technology teams to help build core panel solutions infrastructure.
- Perform statistical and exploratory analyses to generate actionable insights.
- Prototype machine-learning models and algorithms.
- Help develop an agentic approach for the whole team and its stakeholders.
- Collaborate with developers on data/statistics tasks.
- Communicate technical findings to non-technical audiences.
- Transform and prepare data using ETL tools such as DBT.
Ideal Skills & Capabilities
- Strong analytical problem-solving skills and curiosity.
- Experience with SQL, Python, R or similar analytical languages.
- Understanding of ML fundamentals and MLOps concepts.
- Experience with ETL tools (DBT preferred).
- Ability to translate technical detail for non-technical audiences.
- Collaborative mindset for cross-functional and global teamwork.
Preferred Experience
- 2-5 years of experience in dealing with data related technologies including database queries, programming, data mining/wrangling, analysis and reporting.
- BEng or master’s in computer science, Data Science or any Engineering field.
- Interest in data, statistics, machine learning and data analytics is essential.
- Strong problem-solving skills with an emphasis on product development along with logical and critical thinking.
- Comfortable working with datasets, applying basic to intermediate statistics (from mean, median, quartile to histograms, KNN, K-means, Bayesian logic).
- Being able to read, write and query using SQL.
- Experience using PowerBI and Microsoft Fabric.
- Strong experience using statistical computer languages (Python, Scala, R, MATLAB) is a plus.
- Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Diligent and attentive to detail, have a strong work ethic and ability to collaborate with different teams in the company.
Our Culture
At Kantar, We Believe Culture Is The Foundation For Collaboration And Innovation. We Foster Meaningful Connections, Break Down Silos, And Promote Diversity And Joy Through Awareness And Celebration—big And Small. Our Values Guide Everything We Do:
- Generous – We share knowledge and support each other.
- Authentic – We act with integrity and transparency.
- Inclusive – We embrace diversity and create a sense of belonging.
- Collaborative – We work together across teams and geographies.
- Curious – We seek new ideas and challenge the status quo.
- Light-hearted & Discovering – We celebrate wins and learn from challenges.
We are committed to creating an environment where everyone feels respected, empowered, and inspired to do their best work. Our engagement surveys consistently show strong scores in well-being, inclusion & diversity, and collaboration, reflecting our dedication to a workplace where people thrive and grow.
Please be aware, the majority of our roles are hybrid, working three days a week in our office. We’re not able to offer visa sponsorship or help with relocation support for this role. Please make sure you’ve got the right to work in the country where this role is located before applying.
Data Analyst, Panels Performance & Business Intelligence in Reading employer: KANTAR
Contact Detail:
KANTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Panels Performance & Business Intelligence 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 about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. We want to show off our analytical prowess, so practice explaining complex concepts in simple terms—think of it as storytelling with data!
✨Tip Number 3
Don’t forget to showcase your collaborative spirit! Kantar values teamwork, so share examples of how we’ve worked with others to solve problems or improve processes. It’s all about that inclusive vibe!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our CV and cover letter to highlight how our skills align with Kantar’s mission and values.
We think you need these skills to ace Data Analyst, Panels Performance & Business Intelligence in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any relevant analytical projects. We want to see how your skills align with what we're looking for!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've tackled data challenges or improved processes in previous roles. We love a good story!
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. Remember, we want to understand your experience without getting lost in technical details.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Kantar!
How to prepare for a job interview at KANTAR
✨Know Your Data Tools
Familiarise yourself with SQL, Python, and any ETL tools like DBT before the interview. Be ready to discuss your experience with these technologies and how you've used them in past projects. This will show that you’re not just a theoretical analyst but someone who can practically apply their skills.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled analytical challenges in previous roles. Think about specific instances where you identified weaknesses in models or processes and how you improved them. This will demonstrate your analytical mindset and ability to drive results.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll need to communicate findings to non-technical audiences, being able to break down your work into digestible pieces is crucial. Consider doing mock interviews with friends to refine this skill.
✨Embrace Collaboration
Kantar values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of successful collaborations and how you contributed to achieving common goals. This will highlight your fit within their inclusive and collaborative culture.
