At a Glance
- Tasks: Own technical and analytical work to optimise our ad tech stack and drive revenue growth.
- Company: Join Mumsnet, a leading digital brand with a collaborative and innovative culture.
- Benefits: Competitive salary, hybrid working, AI learning tools, and generous holiday options.
- Other info: Enjoy autonomy, work on exciting projects, and be part of a dynamic team.
- Why this job: Make a real impact in programmatic advertising while learning and growing your skills.
- Qualifications: Experience with programmatic platforms and a passion for data analysis.
The predicted salary is between 30000 - 35000 € per year.
Mumsnet's programmatic operation is at an inflection point. We're automating more and building smarter ways to understand and grow revenue. This role exists to help us move faster and smarter—owning the technical and analytical work that keeps our ad tech stack performing and evolving. You'll bring fresh eyes to setups that have always been done a certain way, find quicker paths, and use AI tools to build things that didn't exist before. You'll work closely with the Head of Programmatic and work with a great team across product, tech and data who can help turn good ideas into real revenue driving improvements.
Key Responsibilities
- SSP onboarding and management: Setting up new partners into our stack (Prebid, Ozone, TAM, App), removing or migrating partners from client‑side to server‑side, and tracking revenue impact over time.
- GAM trafficking and troubleshooting: Setting up and troubleshooting programmatic campaigns in Google Ad Manager; diagnosing delivery issues and fixing them.
- Reporting and analytics: Owning BAU revenue reporting, monitoring bid‑level data (bid rates, win rates, latency), running weekly capacity and viewability checks, and support to produce ad‑hoc and monthly business reports.
- Automation: Identifying repetitive tasks that can be streamlined and using AI tools to build lightweight solutions (think Google Apps Scripts, workflow automations); you don’t need to be an engineer, but you need the curiosity and aptitude to figure things out.
- Partnership intelligence: Getting to know what each SSP and ad tech partner does, monitoring their performance, flagging concerns, and bringing new products or opportunities to the table.
- Dynamic pricing and yield: Reviewing dynamic pricing performance and making data‑backed recommendations.
- Ad quality and compliance: Managing ad block policies, dealing with bad ad reports, maintaining ads.txt/app.txt, Prebid maintenance.
Requirements
- Baseline technical knowledge—at least one year hands‑on experience with programmatic platforms, either buy‑side (DSP trading), sell‑side (SSP, publisher ad ops), or both. Traders are very welcome.
- Genuine analytical curiosity—you enjoy diving into data, and you don’t stop at “here’s what happened”; you want to know why and what to do about it.
- Initiative and self‑management—you work well with a clear goal and the autonomy to figure out how to get there; you bring a plan, not just a question.
- Aptitude with AI tools—you’re comfortable using AI to speed up your work and you’re not afraid to experiment; prior experience building scripts or automations is a bonus, not a requirement.
- Enthusiasm for learning—programmatic ad tech is complex and fast‑moving; you need to enjoy getting to the bottom of things and be willing to research and learn quickly on topics you aren’t familiar with.
- Clear communicator—you can explain what you’ve found in data and why it matters to people who aren’t in the weeds with you.
Google Ad Manager and Prebid experience are nice‑to‑haves, not requirements—we’ll teach the right person.
What Success Looks Like In The First 12 Months
- SSP onboarding is running smoothly with clear revenue impact tracked for each partner.
- BAU reporting is largely automated, freeing up time for higher‑value analytical work.
- You’ve identified and acted on at least one meaningful yield or revenue opportunity from your own data analysis.
- You’ve built or contributed to at least one automation that saves the team meaningful time.
- The Head of Programmatic trusts you to own your queue and bring solutions, not just problems.
Who You’ll Work With
- Head of Programmatic—your line manager; weekly check‑ins and a shared Trello board for projects, but day‑to‑day ownership is yours.
- Senior Programmatic Operations Manager—a close day‑to‑day working relationship; you’ll collaborate on technical implementation, onboarding, and operational priorities.
- Engineers and data scientists—Mumsnet has a strong technical team; you’ll work with them to bring bigger ideas to life.
- SSP and ad tech partners—you’ll attend partner calls, understand what each partner offers, and report back insights.
- Sales team—supporting with programmatic demand insights.
Benefits
- £30,000‑£35,000 salary.
- Hybrid working—2 days in the London office (Wednesday & Thursday).
- 10 Weeks Work from Anywhere.
- ChatGPT Pro Account for AI learning.
- Real autonomy and ownership from day one.
- The chance to work on projects that shape how one of the UK’s best‑known digital brands operates.
- Buy More Holiday Scheme—Sometimes 25 days just isn’t enough.
- Cycle2Work Scheme.
- Employee Assistance Programme.
- Mumsnet Workplace Pension Scheme.
- Electric Vehicle Scheme.
- Leisure & Retail Perks via Perkbox.
- BUPA Private Medical or Dental Cover.
- Enhanced Parental Leave.
- Monthly Team Social Events.
- Annual Team Bonus Opportunities.
Benefits with an asterisk are eligible upon successful completion of probationary period.
Programmatic Revenue Analyst employer: Mumsnet
Mumsnet is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Programmatic Revenue Analyst role. With a strong emphasis on employee autonomy and growth, team members are encouraged to explore new ideas and leverage AI tools to enhance their work. The hybrid working model, competitive salary, and comprehensive benefits package, including opportunities for professional development and team bonding, make Mumsnet a rewarding place to build a career in the fast-paced world of programmatic advertising.
StudySmarter Expert Advice🤫
We think this is how you could land Programmatic Revenue Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their programmatic operations and think about how your skills can contribute to their goals. This will help you stand out as someone who’s genuinely interested in the role.
✨Tip Number 3
Practice your analytical skills! Be ready to discuss how you've used data to drive decisions in past roles. Bring examples of how you've tackled challenges and improved processes—this is key for a Programmatic Revenue Analyst.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team and ready to dive into the exciting world of programmatic revenue.
We think you need these skills to ace Programmatic Revenue Analyst
Some tips for your application 🫡
Show Your Technical Know-How:Make sure to highlight any hands-on experience you have with programmatic platforms. Whether it's DSP trading or SSP management, we want to see that you understand the ad tech ecosystem and can bring that knowledge to the table.
Be Curious About Data:We love candidates who dive deep into data analysis. Don’t just tell us what happened; explain why it matters and how you’d approach it. Show us your analytical curiosity and how you can turn insights into actionable recommendations.
Demonstrate Initiative:We appreciate self-starters! In your application, share examples of how you've taken the initiative in past roles. Whether it’s streamlining processes or troubleshooting issues, show us how you can work autonomously towards clear goals.
Communicate Clearly:Since you'll be working with various teams, it's crucial to convey your findings effectively. Use your application to demonstrate your communication skills—explain complex ideas simply and clearly, so everyone can understand the value you bring.
How to prepare for a job interview at Mumsnet
✨Know Your Tech Stack
Make sure you brush up on your knowledge of programmatic platforms, especially if you've worked with DSPs or SSPs. Be ready to discuss your hands-on experience and how it fits into the ad tech ecosystem. This will show that you understand the technical side of the role.
✨Show Your Analytical Curiosity
Prepare to dive deep into data during your interview. Think about examples where you didn’t just report what happened but also explored why it happened and what actions you took. This will demonstrate your genuine interest in analytics and problem-solving.
✨Bring Ideas for Automation
Since automation is a key part of this role, think of any repetitive tasks you've encountered in your previous jobs and how you might streamline them using AI tools. Even if you haven't built scripts before, showing your curiosity and willingness to experiment will impress the interviewers.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to convey your findings to people who may not be as technical, so being able to articulate your thoughts clearly will be crucial. Prepare a few examples of how you've done this in the past.
