Senior Data Engineer, Media Analytics & Automation

UNAVAILABLE; New York (NY); On-site; USD 73,000 - 113,000; Full time

Job summary

Zenith, part of Publicis Groupe, is hiring a Senior Analyst in New York to transform complex media and audience data into actionable insights. You will wrangle data, run analyses, and automate workflows in collaboration with Analytics, Strategy, Activation, and Data Science teams.

The role requires strong SQL and Python skills, experience with large datasets and digital media taxonomies, and comfort presenting findings to both technical and non-technical audiences.

Qualifications

• 2+ years of experience in Analytics, Data Engineering, Marketing Analytics, Media Analytics, or a related field.
• Advanced proficiency in SQL and Python.
• Experience with large datasets and digital media data preferred.

Responsibilities

• Develop complex SQL and Python-based solutions to prepare, transform, and analyze large media and audience datasets.
• Perform ad hoc analyses to answer business, client, and campaign performance questions.
• Build and maintain reusable datasets that support reporting, analytics, and strategic decision-making.
• Design and automate recurring analytical processes and workflows to improve efficiency and scalability.
• Work extensively with media taxonomies and reporting dimensions including channel, publisher, DSP, creative size, placement, audience, and daypart.
• Identify data quality issues and implement processes to improve consistency and reliability across datasets.
• Collaborate with stakeholders to translate ambiguous business questions into analytical approaches and recommendations.
• Present findings and insights to both technical and non-technical audiences.
• Document analytical methodologies, data definitions, and workflow processes to support long-term team scalability

Skills

SQL

Python

Data analysis

Tools

PySpark

Databricks

Snowflake

Job description

Zenith, part of Publicis Groupe, is hiring a Senior Analyst in New York to transform complex media and audience data into actionable insights. You will wrangle data, run analyses, and automate workflows in collaboration with Analytics, Strategy, Activation, and Data Science teams.

The role requires strong SQL and Python skills, experience with large datasets and digital media taxonomies, and comfort presenting findings to both technical and non-technical audiences.