Direct message the job poster from Zenith
Talent Acquisition Partner | Freelance Talent Operations for Publicis Groupe UK
Zenith Media are looking for a highly skilled Analytics Engineer, with Looker Dashboard development expertise, to join a client team working on the delivery of a paid media reporting dashboard for a high-profile fashion retail brand. In this role, you will be responsible for the collection, storage, transformation & dashboard visualisation of digital paid media data, working closely with our data engineers, analysts, and media planning teams to transform data into actionable insights.
The ideal candidate will have hands-on experience with Funnel.io & Looker, specifically in transforming data, parsing taxonomy values, building schemas & impactful dashboards.
Key Responsibilities:
* Design, develop, and maintain scalable data pipelines for digital paid media data.
* Utilise Funnel.io to transform data, parse values, and structure schemas for analytics and reporting.
* Work closely with media, analytics, and BI teams to ensure data integrity and accessibility.
* Optimise data storage and retrieval processes to support dashboarding and reporting solutions.
* Ensure seamless integration of digital media platforms (Google Analytics 4, Google Ads, Meta, TikTok, DV360, etc.) into a unified data architecture.
* Develop and maintain ETL/ELT workflows to streamline data ingestion, transformation, and distribution.
* Design and develop Looker Studio dashboards to visualise media investment, campaign performance, and marketing KPIs.
* Implement effective storytelling through data, ensuring dashboards are intuitive and aligned with business needs.
* Implement data quality checks, validation, and governance to ensure accuracy and reliability.
Required Skills & Experience
IR35 may apply to this booking.
Please send your CV to chanelle.hall@publicisgroupe.com outlining your experience.
Seniority level
Executive
Employment type
Contract
Job function
Information Technology and Analyst
Industries
IT System Data Services and Data Infrastructure and Analytics
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