At a Glance
- Tasks: Analyse TV and digital campaign performance to optimise strategies for impactful causes.
- Company: Independent international agency with a supportive and friendly culture.
- Benefits: Competitive salary, hybrid working, and training in Power BI.
- Other info: Opportunity to work on global campaigns and develop your analytical skills.
- Why this job: Make a difference by supporting charities and NGOs through data-driven insights.
- Qualifications: Two years' experience in digital analytics or media analysis; strong Excel skills.
The predicted salary is between 33000 - 38000 £ per year.
Are you a data-driven Media Analyst with experience across digital analytics, performance marketing or media analysis? Do you enjoy turning complex campaign data into clear insights that improve performance and shape client strategy? This independent, international agency is looking for a TV & Digital Media Analyst to join its London team. Working across global campaigns for charities and NGOs, you’ll analyse performance across digital and traditional TV channels, helping clients acquire and retain supporters for some genuinely important causes.
You’ll work closely with the agency’s digital and media teams, using Meta Ads Manager, GA4 and Excel to evaluate performance, identify opportunities and optimise campaigns. You’ll also have the opportunity to develop your Power BI skills, with full training provided.
This role would suit someone with at least two years’ experience in digital analytics, performance marketing or media analysis who is confident working with data but can also communicate insights clearly to clients and colleagues.
The experience we need:
- At least two years’ experience in digital analytics, performance marketing or media analysis
- Hands-on experience using Meta Ads Manager and GA4
- Strong Excel skills and confidence working with complex datasets
- The ability to spot patterns, data issues and opportunities to improve campaign performance
- Experience producing reports and translating analysis into practical recommendations
- Strong written, verbal and presentation skills
- Confidence communicating with clients and answering campaign-related questions
- Excellent organisation and the ability to manage several projects simultaneously
- An enthusiastic, collaborative and calm approach
- Experience within a media or performance marketing agency would be particularly useful
- Power BI, Looker Studio or Tableau experience would be advantageous, although training will be provided
- Experience within fundraising, charities or NGOs—or fluency in German—would also be a bonus
The role:
- Analyse TV and digital campaign performance across multiple international markets
- Centralise and benchmark global digital campaign results
- Use Meta Ads Manager, GA4 and Excel to evaluate and optimise campaigns
- Monitor performance and emerging trends across channels including Meta and Performance Max
- Build reports and presentation decks that turn data into clear client recommendations
- Support forecasting, media planning and campaign performance reviews
- Develop your knowledge of attribution methodologies and explain them clearly to clients
- Manage day-to-day client queries, campaign briefings and data presentations
- Build relationships with media agency partners across international markets
- Identify new tools, technologies and AI developments that could improve efficiency and performance
The agency offers a friendly, supportive environment, hybrid working and the opportunity to contribute to campaigns that raise millions for important causes around the world.
Salary: £33,000–£38,000, depending on experience
Location: London – hybrid working
Hours: Monday to Friday, 9am–6pm
TV & Digital Media Analyst employer: air-recruitment
Join a highly respected accountancy practice in Woking, where you'll thrive in a supportive and collaborative environment. With a focus on employee growth, you'll have the opportunity to work closely with seasoned tax professionals while managing your own client portfolio. Enjoy competitive remuneration and the chance to develop your skills in a friendly team dedicated to providing exceptional service to private clients and businesses alike.
StudySmarter Expert Advice🤫
We think this is how you could land TV & Digital Media Analyst
✨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 air-recruitment!
✨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 TV & Digital Media Analyst at air-recruitment.
✨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 air-recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like TV & Digital Media Analyst at air-recruitment, 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 TV & Digital Media Analyst
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 air-recruitment, 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 air-recruitment. 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 air-recruitment
✨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 air-recruitment!
✨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.