At a Glance
- Tasks: Transform data into actionable insights and improve analytical models for real-world impact.
- Company: Join Kantar, a leader in data-driven decision-making with a supportive culture.
- Benefits: Enjoy flexible hybrid working, generous leave, competitive salary, and healthcare options.
- Other info: Be part of a diverse team focused on mental health and well-being.
- Why this job: Make a difference by turning complex data into clear insights that drive decisions.
- Qualifications: Strong analytical skills, experience with SQL, Python or R, and a collaborative mindset.
The predicted salary is between 35000 - 45000 £ per year.
We’re known for our data. Help us turn it into insight that makes a real difference. 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.
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 paid 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
Equal Employment Opportunity:
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Data Analyst, Panels Performance & Business Intelligence in Reading employer: Dormont Manufacturing Co
At Kantar, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Analyst in our Panels Performance & Business Intelligence team, you'll benefit from flexible hybrid working arrangements, generous leave policies, and a commitment to employee well-being and growth. Join us in Reading, where your analytical skills will not only contribute to impactful data-driven decisions but also be supported by a diverse and inclusive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, Panels Performance & Business Intelligence in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst, Panels Performance & Business Intelligence at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst, Panels Performance & Business Intelligence at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst, Panels Performance & Business Intelligence in Reading
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
