At a Glance
- Tasks: Drive impactful measurement and analytics for Amazon's global campaigns.
- Company: Join a leading tech giant focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on education and empowerment for small businesses.
- Why this job: Make a real difference in how businesses measure success with cutting-edge tools.
- Qualifications: Experience in digital advertising and strong analytical skills required.
Location: London
Employment Type: Regular
Responsibilities:
- Partner primarily with Amazon EU and international markets (SEA, MENAT) and relevant agencies to deliver high-quality measurement and analytical support that drives understanding of campaign performance and platform value.
- Lead the development of data clean-room capabilities to enable privacy-safe, audience-level measurement and attribution in collaboration with Amazon and internal technical teams.
- Develop measurement architectures and scalable frameworks in collaboration with revenue, product marketing, and product managers to determine the right measurement approach by market, line of business, and data readiness.
- Translate complex analytical results into actionable recommendations that help Amazon optimise their media investment and drive measurable outcomes.
- Identify and activate test- and learn opportunities (e.g., RCTs, brand lift studies, incrementality tests, creative experiments) to build Amazon's confidence in TikTok measurement across markets.
- Build measurement capability and education within EU and international markets, equipping regional teams and stakeholders with the tools, frameworks, and fluency to act on data.
- Manage client and agency feedback to ensure their voice is reflected in internal product, partnerships, and go-to-market strategies.
- Contribute to thought leadership and internal education on best practices for experimentation, attribution, clean-room measurement, and business outcome measurement for large global advertisers.
Qualifications:
- Extensive experience in digital advertising, marketing analytics, or measurement roles within a platform, agency, or analytics supplier.
- Familiarity with experimental design, incrementality testing, multi-touch attribution, and media mix modelling.
- Strong understanding of programmatic auction and commonly used ad products within the ad tech ecosystem.
- Understanding of how small and medium business (SMB) advertisers approach performance measurement and optimisation.
- Proven ability to translate complex analytical outcomes into clear, actionable narratives for non-technical audiences.
- Exceptional time management, prioritisation, and stakeholder communication skills.
- Demonstrated success collaborating effectively in cross-functional environments.
Preferred Qualifications:
- Bachelor’s degree or equivalent.
- Experience with SMB, long-tail, or self-serve advertising ecosystems.
- Experience with SQL, HIVE, R, Python, or similar analytical tools.
- Familiarity with privacy-first measurement innovations and data governance principles.
- Passion for making measurement accessible, educational, and impactful for small businesses.
Measurement Partner, Global Monetization Product and Technology, EUI employer: TikTok
As a Measurement Partner at our London office, you will thrive in a dynamic and innovative work culture that prioritises collaboration and professional growth. We offer extensive training opportunities, a commitment to diversity, and the chance to work on cutting-edge projects that shape the future of digital advertising. Join us to make a meaningful impact while enjoying the vibrant lifestyle that London has to offer.
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We think this is how you could land Measurement Partner, Global Monetization Product and Technology, EUI
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We think you need these skills to ace Measurement Partner, Global Monetization Product and Technology, EUI
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!
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Craft a Tailored Cover Letter:For a full-time role at TikTok, 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 TikTok. 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 TikTok
✨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!
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✨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 TikTok!
✨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.
