Data Governance Analyst: Drive Trusted Insights

Publicis Groupe ANZ; New York (NY); On-site; USD 56,000 - 72,000; Full time

Job summary

Zenith, part of Publicis Groupe, seeks a Data Governance Analyst in New York to design and enforce data governance processes across our digital ecosystem. You will work with Analytics, Engineering and Technology Activation teams to ensure data quality, consistency and availability for campaign optimization.

Day-to-day tasks include understanding client reporting needs, implementing standardized data management practices, and producing clear documentation to automate data processing.

Qualifications

• Bachelor’s degree in a related field (STEM, Economics, MIS, BI, Marketing, etc.).
• 1–2 years of experience handling large data sets or performing quantitative analysis.
• Strong communication; professional speaking and writing; comfortable presenting.
• Strong organizational skills; track progress across tasks; regular updates to leadership.
• Critical thinker and self-starter; able to learn via self-led trainings.
• Proficiency in Microsoft Office (Word, Excel, PowerPoint).
• World-class customer service; service to clients, partners and internal stakeholders.

Responsibilities

• Understand client media reporting requirements and collaborate with Analytics teams.
• Work with cross-functional teams to implement standardized data management processes.
• Produce clear documentation to facilitate automation of data processing.
• Act as liaison between data governance and analytics to ensure data quality.

Skills

Data analysis

Communication

Organization

Self-motivation

Presentation

Excel

SQL

Python

Customer service

Team collaboration

Education

Bachelor’s degree

Tools

Tableau

PowerBI

Google Analytics

MS Access

DBeaver

SQL

Job description

Zenith, part of Publicis Groupe, seeks a Data Governance Analyst in New York to design and enforce data governance processes across our digital ecosystem. You will work with Analytics, Engineering and Technology Activation teams to ensure data quality, consistency and availability for campaign optimization.

Day-to-day tasks include understanding client reporting needs, implementing standardized data management practices, and producing clear documentation to automate data processing.