At a Glance
- Tasks: Lead a team to optimise Google's marketing investments across EMEA using advanced analytics.
- Company: Join Google, a leader in tech innovation and data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI transformation and career development.
- Why this job: Make a real impact by driving marketing strategies with cutting-edge analytics.
- Qualifications: Master's degree in a quantitative field and extensive experience in analytics and team leadership.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is collaborating with Google to connect them with exceptional professionals for this role.
Google's leadership team hand-picks thorny business challenges, and members of Biz Ops work in small teams to find solutions.
As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations.
Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
As the EMEA Marketing Measurement Lead, based in London, you will lead the measurement team responsible for evaluating and optimizing Google's marketing investments across Europe, the Middle East, and Africa (EMEA).
Acting as an advertiser, Google Marketing runs full-funnel campaigns to build brand equity and drive performance across critical product areas, including hardware and core consumer services.
In this pivotal role, you will lead and deliver advanced measurement, implement analytical models, develop key metrics, and build statistical frameworks to measure marketing incrementality, media effectiveness, and overall business impact.
You will act as a key strategic partner to EMEA Marketing Leadership, Finance, and Product Area teams, bridging analytical mastery with business strategy to guide media planning and allocation to drive impact and growth Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e. g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams.
Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL).
Experience presenting to non-technical audiences.
Preferred qualifications: Ph D in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science.
Experience in advanced marketing measurement methodologies (e. g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies) for a major regional or global brand.
Experience collaborating cross-team to define data requirements, analyze product metrics, resolve data gaps.
Knowledge of statistics (e. g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems.
Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into actionable insights for senior leaders.
Proficiency managing large, complex datasets.
Responsibilities: Drive the development of measurement roadmap to solve complex data questions for EMEA campaigns.
Define data requirements, analytical frameworks, and regional strategy to scale media measurement efforts.
Set and achieve ambitious measurement goals aligned with global marketing objectives.
Drive AI transformation to enhance productivity, analytical creativity, and innovation, while upholding Google's AI Principles.
Oversee the analysis and interpretation of high-dimensional datasets to deliver actionable results.
Act as a domain expert to review statistical analyses, methodologies.
Partner with cross-functional leadership (including Media Co E, Finance, Product Areas) to guide marketing budget allocation, answer complex statistical questions, and ensure decision-making is aligned with objectives.
Manage and coach a high-performing team of Business Data Scientists and Analysts.
Advocate knowledge sharing, collaboration, and solution reuse across Google’s broader marketing analytics and data science communities.
EMEA Marketing Measurement Lead in London employer: Google
Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.
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We think this is how you could land EMEA Marketing Measurement Lead in London
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We think you need these skills to ace EMEA Marketing Measurement Lead in London
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 Google, 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 Google. 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 Google
✨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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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 Google!
✨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.
