MarTech Data & Insights Specialist

Responsibilities

Ingest disparate digital data sources across Paid, Owned and Earned Digital Media into a consolidated environment for tracking
Learn how to set up automated process for data extraction, via API, SFTP, SQL etc.
Extract, transform and load data for ingestion into business intelligence platforms
Learn how to build dashboards in business intelligence platforms
Build and deploy semi-automated Excel and PowerPoint digital reporting solutions such as campaign performance tracking
Provide the Planning and Buying teams with analysis, insights and data-informed recommendations from the aforementioned reporting areas
Opportunity to work across key business intelligence platforms for digital media, mainly Datorama
Translate strategy into implementation tactics Data mapping and enhancement
Create segments relevant to objectives that can be pushed to relevant destinations for activation
Translate objectives into digital media measurement plans
Analyze and report on campaign performance through standardized ad-server attribution models
Learn how to build simplistic algorithmic attribution models and implement them
Work alongside data scientists to deploy more complex algorithmic attribution models
Make data-informed recommendations for optimizing digital media and content
Opportunity to work on key attribution platforms such as Google’s Data-Driven
Attribution model with DoubleClick, and proprietary Publicis Media platforms

Qualifications

3-4 years’ experience in Digital Media in Planning/Buying and/or 1 – 2 years Data Science experience
Technically competent and capable of working with and learning new digital and tech platforms
Strong numerical and analytical skills
Demonstrated ability to convert data analysis into meaningful action for brands
Experience with or strong knowledge of ad servers and web analytics platforms such as
DoubleClick, Adobe Media Optimizer, Sizmek, Google Analytics or Adobe Omniture
Effective written and verbal communication skills
Ability to cope under pressure and deliver to tight deadlines autonomously.