Designing and evaluating test-and-learn initiatives (e.g. A/B tests, geo experiments, lift studies) with the support of measurement & channel specialists to evidence incremental contribution of paid media.
Producing clear, actionable insights from online platforms performance, cross-channel campaign results and audience data analysis to support activation teams inform targeting, channel selection and media planning decisions.
Developing best practice analysis and short-term performance forecasts.
Translating complex analysis into concise recommendations aligned with wider strategic objectives.
Partnering with Planning, Strategy, and Client Service teams to ensure data informs investment and optimisation—not just measurement.
Acting as the central analytics point of contact for Entain, guiding internal and client stakeholders on performance analytics interpretation and implications.
A bit about yourself
Required
Experience in media or marketing analytics & measurement, ideally in an agency environment.
Expertise in both campaign performance analytics (incrementality testing methods, attribution, KPI tracking, forecasting) and audience analytics (segmentation, targeting, cross-channel reach).
Good statistical knowledge: sampling, and hypothesis testing, descriptive statistics, and correlation analysis.
Deep understanding of digital media channels, measurement methodologies, performance marketing, and paid/organic social media.
Advanced proficiency in SQL, Excel (pivot tables, VLOOKUP, macros), and data management platforms (BQ, Snowflake).
Experience with analytics and media tools: DV360, Google Ads, Facebook Business Manager, Nielsen, Ad Server, AppsFlyer, Google Analytics, Adobe Analytics, etc.
Strong communication and storytelling skills: able to translate complex analytics into actionable insights for non-technical audiences.
Demonstrable experience influencing media targeting, campaign decisions, or strategy through analytics.
Desirable
Experience in gaming, sports betting, or entertainment sector analytics.
Proficiency in Python, R, or other statistical/programming languages.
Experience with data platforms (CDPs/DMPs) and MarTech/AdTech stacks.
Experience with visualization tools (Tableau, Power BI, Looker)
Experience with omnichannel attribution, consumer journey optimisation or performance marketing



To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
