Senior Analyst, Data Governance
Listed on 2026-03-01
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Company description
Zenith is one of Publicis Groupe’s largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high‑profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry.
Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future‑proofed data capabilities.
What does Zenith Data Governance do?
Data Governance collaborates with Analytics, Engineering, and Technology Activation teams to design and enforce the processes and protocols used to effectively manage data across our digital ecosystem to ensure quality, consistency, and availability. We also work to understand key decision points so we can ensure the correct business logic is applied, documented, and executed. Once that data is mined, it is used to optimize campaigns and tell the stories that bring our clients closer to their marketing, helping them understand if they’re talking to the people they want, and if they’re doing it the right way.
What does a successful Senior Analyst look like?
We don’t all look the same, and we don’t expect you to, either. But successful members of our team generally have a passion for emerging tech and media, bring a data‑driven approach to decision‑making, have a problem‑solving mind, have a fresh perspective and share it in a positive way, don’t shy away from a challenge, and are always hungry to learn more.
Familiarity with media analytics and data helps, especially digital media, but isn’t necessarily a requirement. Prior professional experience in a data related role is required.
ResponsibilitiesWhat does a Data Governance Senior Analyst do day‑to‑day?
Senior Analysts support the foundation of the Data Governance and Analytics teams. They work closely with core Analytics teams in understanding client media reporting requirements and process across global markets. They also work with other cross functional teams and help implement standardised processes and protocols to enable efficient data management globally. They behave like Business Analysts who understand the business requirements and are able to produce clear documentation to facilitate automation of data processing.
They are curious and demonstrate attention to detail as well as problem‑solving skills.
- Bachelor’s degree. Degree in a related field is a plus (i.e. STEM, Economics, MIS, BI, Marketing, etc.).
- 1‑3 years of experience working with large data sets or conducting quantitative analysis.
- Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.
- Ability to communicate complex ideas to both external and internal clients.
- Experience with digital media and analytics tools (Ad Servers, Measurement Vendors, BI Software)
- Understanding of a broad range of online advertising media channels such as Search, Display Banners, Email, Contextual, and Social.
- Knowledge of digital media metrics (Impressions, Clicks, CTR, CPM, etc.).
- Ability to structure and manipulate large data sets to answer business questions. Familiarity with SQL, pivot tables, and vlookups.
- Proficient in Microsoft Office software such as Word, Excel and PowerPoint.
- World‑class customer service skills. Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.
Preferred Experience:
- Knowledge of digital marketing and advertising landscape and concepts.
- Knowledge of visualization tools like Tableau and Power
BI. - Proficient with analytics tools and relational databases (Google Analytics, SQL, MS Access).
- Advanced Excel skills (ability to work with macros, advanced formulas).
- Knowledge of python and other programming…
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