WPP Media - Senior Analytics Executive

About WPP Media :

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.

WPP Media is WPPs global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com.

A bit about yourself :

- You will be highly numerate: able to confidently interpret data and apply statistical tests to draw robust conclusions. Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science.

- Strong understanding of media and digital marketing measurement, with knowledge of campaign analytics and applying measurement to media campaigns across platforms such as Meta and Google.

- At least 2 years of experience in analytics, measurement, data science, marketing analytics, or a related field.

- Knowledge of Marketing Mix Modeling (MMM) outputs and the ability to translate model insights into actionable recommendations for media planning, budget allocation, and campaign optimization.

- Well-developed problem-solving skills and the ability to think critically and creatively.

- Strong presentation and communication skills, with the ability to engage both technical and non-technical audiences and clearly articulate analytical findings.

- Able to follow guidance as part of a cross-functional team, using project management tools such as Jira/Wrike/Asana.

- Demonstrable experience presenting data in a visually engaging, insightful, and business-focused manner.

- Independently analyze complex datasets to uncover deep, actionable insights that directly inform future campaign strategies. Proactively articulate these insights and provide strategic recommendations to stakeholders.

- Proactively identify and take ownership of analytical tasks and investigations, ensuring critical work is always moved forward and addressed efficiently with internal teams.

Nice to haves :

- Familiarity R, Python and SQL, including use of packages such as pandas, numpy, scipy & matplotlib.

- Knowledge of market research methodologies.

- Experience with cloud technologies, such as BigQuery, GCP & AWS.

- Experience working with predictive models and data sources via APIs.

- Speaking any European languages.

(ref:hirist.tech)