At a Glance
- Tasks: Drive performance through data insights and collaborate across analytics and commerce.
- Company: Join Publicis Media, a leader in innovative marketing solutions.
- Benefits: Enjoy comprehensive employee support, including a pension scheme and enhanced policies.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make an impact by turning data into commercial value for Amazon clients.
- Qualifications: Experience with Amazon DSP and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
Publicis Media is looking for a Commerce Analytics Associate Director to join their UK Commerce team. This role involves driving performance through data-driven insights, particularly for Amazon clients, while collaborating across analytics, technology, and commerce.
The successful candidate will have hands-on experience with Amazon DSP, confidence in stakeholder communication, and an analytical mindset to turn data into commercial value.
Benefits include comprehensive support for employees, such as a pension scheme and enhanced policies.
Commerce Analytics Lead: Amazon & Retail Media in London employer: Publicis Media
Publicis Media is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the dynamic UK Commerce team. Employees benefit from comprehensive support, including a robust pension scheme and enhanced policies, while also enjoying ample opportunities for professional growth and development in the fast-paced world of commerce analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Commerce Analytics Lead: Amazon & Retail Media in London
✨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 Publicis Media.
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We think you need these skills to ace Commerce Analytics Lead: Amazon & Retail Media 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 Publicis 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 Publicis 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 Publicis 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 Publicis 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.
