At a Glance
- Tasks: Contribute to marketing analytics projects and handle data collection and modelling.
- Company: Join WPP Media, a leader in marketing analytics with a collaborative spirit.
- Benefits: Receive training, competitive salary, and opportunities for career growth.
- Other info: Dynamic team environment with a focus on innovation and core values.
- Why this job: Make an impact on global marketing decisions while developing your analytics skills.
- Qualifications: Analytical mindset and willingness to learn about data science.
The predicted salary is between 35000 - 42000 £ per year.
WPP Media is seeking an Analyst to join the Data Science and Modelling team in the UK. You will contribute to marketing analytics projects for UK and global clients, handling data collection, processing, modelling, and client deliverables.
Training is provided across analytics stages to ensure successful delivery. You will work with colleagues across data, modelling and account groups, building insights that inform marketing decisions while embracing WPP’s core values.
#J-18808-LjbffrMarketing Analytics Analyst — Data Science & Modelling in London employer: WPP Media
WPP Media is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer competitive benefits and a hybrid work model that encourages creativity and flexibility, making it an ideal environment for professionals looking to make a meaningful impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Analytics Analyst — Data Science & Modelling in London
✨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 WPP Media!
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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 WPP Media.
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We think you need these skills to ace Marketing Analytics Analyst — Data Science & Modelling in London
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 WPP Media, 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 WPP Media. 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 WPP Media
✨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 WPP Media!
✨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.
