At a Glance
- Tasks: Lead multi-country analytics projects and deliver impactful insights to clients.
- Company: Join NielsenIQ, a leader in data analytics with a focus on client satisfaction.
- Benefits: Competitive salary, travel opportunities, and a chance to influence strategic decisions.
- Other info: Dynamic role with opportunities for professional growth and international exposure.
- Why this job: Make a real difference by driving client success through data-driven insights.
- Qualifications: Strong analytical skills, Excel/PPT proficiency, and a consultative mindset.
The predicted salary is between 37800 - 46200 £ per year.
Nielsen IQ is seeking a client‑facing analyst in the UK to run independent multi‑country projects, delivering analytics and robust client relations that drive value and satisfaction.
You will present insights, manage expectations, and work with internal stakeholders to ensure strategic impact.
Travel to client sites may be required.
Candidate should bring data/analytical skills, strong Excel/PPT abilities, and a consultative client service mindset to influence decisions and foster long‑term
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Global Analytics Executive — Client Impact & Strategy Lead in Oxford employer: NielsenIQ
NielsenIQ is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about retail data and client storytelling. With opportunities for professional growth and a hybrid working model in vibrant locations like London and Oxford, employees are empowered to develop their expertise in UK retail trends while making impactful contributions to client partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Global Analytics Executive — Client Impact & Strategy Lead in Oxford
✨Get Involved in Data Science Meetups
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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 NielsenIQ.
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We think you need these skills to ace Global Analytics Executive — Client Impact & Strategy Lead in Oxford
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 NielsenIQ, 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 NielsenIQ. 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 NielsenIQ
✨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 NielsenIQ!
✨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.
