Job Description

What does Zenith Analytics/Business Intelligence do?

Working closely with both the Business Planning and Activation teams, Analytics and Business Intelligence designs the data strategy to tie our clients' marketing to real-world business goals. We then mine that data 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 Manager look like?

We don't all look the same, and we don't expect you to, either. But a successful Manager should share our passion for emerging tech and media, bring a data-driven approach to decision-making, determine a point of view and shares it in a positive way, gear up for a challenge, and always crave to learn more and improve. We are looking for prior experience in media analytics, especially digital media, but isn't necessarily a requirement.

What does a Manager, BI do day-to-day?

The Manager will be working within Zenith's Business Intelligence team on data projects including QA, client reporting, analytics, data warehousing, and dashboarding. You should have prior working experience performing QA on large datasets, a strong working knowledge of SQL, and will become familiar with the internal analytics and technological offerings to assist and lead various projects.

Other primary responsibilities include:

Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define reporting needs.

Assist the AD in managing the process between analytics/reporting needs, translate it to a defined technical requirement, and work with the engineering team to build it - from the ask to implementation to client facing reporting.

Assist the AD in managing the overall design and implementation of our BI platform, including collaborating with engineering and functional leads on data acquisition, modeling, and delivery.

Teach and offer guidance to the Analytics team on how to identify data issues and help them work towards a resolution.

Manage internal and external client relationships.

Manage and prioritize day-to-day questions.