Media Insights & Measurement Lead in London

Media Insights & Measurement Lead in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible
F

At a Glance

  • Tasks: Lead media measurement and analyse effectiveness to drive growth.
  • Company: Join Burberry, a luxury brand known for innovation and style.
  • Benefits: Competitive salary, creative environment, and opportunities for professional development.
  • Other info: Work in a dynamic international market with excellent career prospects.
  • Why this job: Make a real impact by translating data into actionable strategies.
  • Qualifications: 5+ years in media analytics with strong SQL/Python skills.

The predicted salary is between 50000 - 70000 £ per year.

Burberry is seeking a Media Insights Manager to oversee the media measurement framework and lead the analysis of media effectiveness. The successful candidate will translate complex data into actionable strategies to inform investment decisions and drive growth.

Ideal applicants should have:

  • Over 5 years of experience in media analytics
  • Strong SQL/Python skills
  • A background in managing measurement across international markets

Media Insights & Measurement Lead in London employer: FashionUnited Group

Burberry is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and analytical thinking thrive. With a commitment to employee growth, we offer extensive training and development opportunities, ensuring our team members can advance their careers while contributing to our global brand. Located in a vibrant city, our office provides a collaborative environment that encourages teamwork and celebrates diversity, making it a truly rewarding place to work.

F

Contact Details:

FashionUnited Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Media Insights & Measurement Lead 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 FashionUnited Group!

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 Media Insights & Measurement Lead at FashionUnited Group.

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 FashionUnited Group.

Apply Directly through Our Website

When you find a suitable opening like Media Insights & Measurement Lead at FashionUnited Group, 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 Media Insights & Measurement Lead in London

Media Analytics
SQL
Python
Data Analysis
Media Measurement Framework
International Market Management
Actionable Strategy Development

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 FashionUnited Group, 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 FashionUnited Group. 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 FashionUnited Group

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 FashionUnited Group!

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.