Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data from digital advertising to maximise revenue and support inventory forecasting.
- Company: Join a thriving publisher in the exciting digital advertising space.
- Benefits: Permanent position with opportunities for career growth and development.
- Why this job: Take on a senior role and make a real impact in the digital advertising industry.
- Qualifications: Experience in data analysis and a passion for digital advertising.
- Other info: Be part of a small, dynamic team driving innovation in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Join a thriving publisher in the digital advertising space. A great opportunity for a Data Analyst looking for a more senior position with added responsibility.
You would be part of a small team responsible for analysing the huge amounts of data generated from the ad stack, generating insights that can help maximise the revenue potential from the digital advertising across the business.
- Identify the performance of all their inventory to help control pricing in conjunction with the sales team.
- Support your manager on inventory forecasting across the core audience segments, generating forecasting and budgeting for financial reporting.
Data Lead – Digital Advertising employer: Digital Ad-network
Contact Detail:
Digital Ad-network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead – Digital Advertising
✨Tip Number 1
Network like a pro! Reach out to people in the digital advertising space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data analysis prowess. When you get the chance to chat with potential employers, share how you've used data to drive results in past roles.
✨Tip Number 3
Be proactive! If you see a company you love, don’t wait for them to post a job. Reach out directly and express your interest in working with them. You never know, they might have something in the pipeline!
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like Data Lead in Digital Advertising. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Lead – Digital Advertising
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lead role. Highlight your experience in data analysis and digital advertising, and don’t forget to showcase any relevant skills that align with the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this position. Mention specific projects or experiences that demonstrate your ability to generate insights from data and support inventory forecasting.
Showcase Your Analytical Skills: Since this role involves analysing huge amounts of data, make sure to highlight your analytical skills. Include examples of how you've used data to drive decisions or improve processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Digital Ad-network
✨Know Your Data Inside Out
As a Data Lead, you'll be expected to have a solid grasp of data analysis techniques and tools. Brush up on your knowledge of data analytics software and be prepared to discuss how you've used data to drive insights in previous roles.
✨Understand the Digital Advertising Landscape
Familiarise yourself with the latest trends and challenges in digital advertising. Be ready to talk about how you can leverage data to maximise revenue potential and improve inventory performance. Showing that you’re up-to-date will impress your interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data analysis and forecasting. Think of examples from your past experience where you successfully identified trends or made recommendations based on data insights.
✨Showcase Your Team Collaboration Skills
Since you'll be working closely with the sales team and your manager, highlight your experience in cross-functional collaboration. Share specific examples of how you've worked with others to achieve common goals, especially in terms of data-driven decision-making.