At a Glance
- Tasks: Maintain client requirements and oversee international data taxonomies.
- Company: Join Nielsen, a leader in data analytics and insights.
- Benefits: Competitive salary, flexible working hours, and career development opportunities.
- Other info: Fast-paced environment with opportunities for growth and learning.
- Why this job: Be at the forefront of data trends and make a real impact.
- Qualifications: Strong communication skills and Excel proficiency required.
The predicted salary is between 30000 - 40000 £ per year.
Nielsen is seeking an AdIntel International Reference Data Specialist in Newcastle upon Tyne. This role involves maintaining client requirements and overseeing international data taxonomies.
Responsibilities include:
- Communicating updates to stakeholders
- Identifying new categories based on trends
- Ensuring accurate data mappings
The ideal candidate will possess strong communication skills and Excel proficiency, along with the ability to work under pressure. A proactive attitude and attention to detail are essential for success in this role.
Global Reference Data Specialist — Taxonomy & Mappings in Newcastle upon Tyne employer: Nielsen
Nielsen is an excellent employer, offering a dynamic work culture in Newcastle upon Tyne that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, including training and development programmes, while enjoying a supportive environment that values proactive contributions and attention to detail. With a focus on maintaining high standards in data management, Nielsen provides a meaningful and rewarding career path for those passionate about data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Global Reference Data Specialist — Taxonomy & Mappings in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Global Reference Data Specialist — Taxonomy & Mappings in Newcastle upon Tyne
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 Nielsen, 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 Nielsen. 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 Nielsen
✨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 Nielsen!
✨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.
