Experimentation Data Analyst

About Us 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). Mediabrands manages approximately $40 billion in marketing investment globally on behalf of its clients and provides strategic services and solutions across its award-winning, full-service agency networks UM, Initiative and Mediahub and through its innovative marketing specialist companies Kinesso, Magna, Orion, Rapport and Mediabrands Content Studio. Mediabrands clients include many of the world’s most recognisable and iconic brands from a broad portfolio of industry sectors. The company employs more than 13,000 marketing experts in more than 130 countries, representing the full diversity of humanity. For more information, please visit our website: www.ipgmediabrands.com.

Role Description 
Marketing Experimentation Manager 

We are looking for a hands-on Marketing Experimentation specialist to join our dedicated team working on one of our flagship accounts in a finance sector.  

This is a fantastic opportunity to be at the core of our measurement practice. Your role is to be the analytical engine that powers our understanding of media effectiveness. You will be deep in the data, applying your statistical skills to measure the real-world impact of our media campaigns. 

Working closely with clients, comms designers and channel specialists and reporting to a senior digital leader, you will be responsible for the technical design and analysis of our marketing experiments. This is a role for someone who loves to get their hands dirty with data, write code, and uncover the story behind the numbers. 

What You’ll Be Doing: 

• Design of Media Experiments: Work with comms designers, channel specialists and client-side analytics specialists to create media experiments by applying best practice experiment design principles. 

• Statistical Analysis of Experiments: Use your knowledge of statistics to evaluate and analyse test results, ensuring our hypotheses are validated and our conclusions are reliable. 

• Data ETL and Analysis: Use code (SQL, Python, R) to efficiently extract, process and analyse data and automate analysis workflows to evaluate experiments. 

• Visualise and Report Findings: Create clear presentations/reports to summarise and communicate the results of your analysis to internal teams and the client. 

• Education and Best Practice: Work with agency and client-side stakeholders to help educate them about experimentation and promote best practice implementation. 

Who You Are (Essential Skills): 

• Commercial experience in a data science, analytics, or other quantitative role. 

• Proven experience and expertise in experimentation and knowledge of a broad range of causal inference techniques including A/B testing (RCT testing), geographic testing, causal impact analysis and econometric methods. 

• A good understanding of applied statistics, including hypothesis testing and regression. 

• Strong coding skills in SQL, Python or R for data ETL and analysis. 

• Clear communication skills, with the ability to explain your analytical methods and findings to both technical and non-technical stakeholders. 

• A problem-solving mindset with excellent attention to detail. 

• A genuine curiosity and a desire to learn and develop your skills in media measurement. 

Desirable Skills: 

• Experience with digital media platforms and their data (e.g., Google Ads, Meta Ads, DV360, Google Analytics). 

• Experience and knowledge of specific experimentation offering from major digital platforms (Meta, Google, Amazon etc.) 

• Experience working with cloud data environments (e.g., GCP, AWS). 

• An interest in the financial services sector. 

• Previous media agency experience is desirable.