At a Glance
- Tasks: Analyse revenue data and optimise programmatic strategies for maximum impact.
- Company: Join Mail Metro Media, a dynamic part of DMG Media.
- Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of digital advertising and drive real revenue results.
- Qualifications: Strong analytical skills and a passion for programmatic advertising.
The predicted salary is between 30000 - 36000 £ per year.
Mail Metro Media, part of DMG Media, seeks a commercially minded Programmatic Analyst to join the Revenue Operations team. The role focuses on day‑to‑day revenue analysis, partner management, and strategic programmatic optimization across SSPs, exchanges, and technology partners.
You will produce regular analytics, support Open Marketplace and Private Marketplace activity, and communicate insights to internal stakeholders.
Programmatic Revenue Analyst (Hybrid) in London employer: Dmgmedia
Dmgmedia is an excellent employer located in the vibrant Greater London area, offering a dynamic work culture that values teamwork and inclusivity. Employees benefit from opportunities for growth within the culinary field, alongside a commitment to maintaining high food safety standards. Join us to be part of a supportive environment where your passion for food can flourish and contribute to our mission of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Programmatic Revenue Analyst (Hybrid) 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 Dmgmedia.
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We think you need these skills to ace Programmatic Revenue Analyst (Hybrid) 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 Dmgmedia, 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 Dmgmedia. 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 Dmgmedia
✨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 Dmgmedia!
✨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.
