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For Companies At a Glance
- Tasks: Analyse data to optimise ad performance and boost revenue.
- Company: Leading digital publisher in the UK with a focus on innovation.
- Benefits: Competitive salary of £55k plus a 40% bonus, totalling £77k.
- Why this job: Join a dynamic team and make a real impact on digital advertising.
- Qualifications: Experience in programmatic environments and data visualisation skills.
- Other info: Exciting opportunity for growth in a fast-paced industry.
The predicted salary is between 55000 - 77000 £ per year.
A prominent digital publisher in the UK is seeking a skilled analyst to join their commercial yield & optimization team. The role involves analyzing data sets across programmatic levers, optimizing ad performance to increase yield and revenue, and providing strategic insights to stakeholders.
Ideal candidates have experience in a programmatic environment and are proficient with data visualization tools.
The position offers a base salary of £55k plus a 40% bonus, totaling a competitive package of £77k.
Programmatic Yield & Insights Analyst in City of London employer: Digital Ad-network
Contact Detail:
Digital Ad-network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Programmatic Yield & Insights Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis and visualisation abilities. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to programmatic advertising and data insights. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Programmatic Yield & Insights Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in a programmatic environment and showcases your skills with data visualisation tools. We want to see how you can bring value to our commercial yield & optimisation team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Programmatic Yield & Insights Analyst role. Share specific examples of how you've optimised ad performance in the past.
Showcase Your Analytical Skills: In your application, don’t forget to mention any relevant projects or experiences where you’ve analysed data sets and provided strategic insights. We love seeing how you think and approach problem-solving!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Digital Ad-network
✨Know Your Data Inside Out
Make sure you’re familiar with the key metrics and data sets relevant to programmatic advertising. Brush up on your analytical skills and be ready to discuss how you've used data to optimise ad performance in previous roles.
✨Showcase Your Tools Proficiency
Since the role requires proficiency with data visualisation tools, be prepared to talk about your experience with specific software. Bring examples of how you've used these tools to derive insights and present findings effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to yield optimisation. Think through potential scenarios beforehand and be ready to explain your thought process and the strategies you would implement.
✨Engage with Stakeholders
This role involves providing insights to stakeholders, so demonstrate your communication skills. Prepare to discuss how you’ve successfully collaborated with different teams in the past and how you can translate complex data into actionable insights for non-technical audiences.
