Manager, Data and Analysis

Digitas•New York, NY

50d

About The Position

The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients. To help with this, we're looking for an outstanding Manager, Data & Analysis - someone who can lead a team of analysts, provide strategic data-driven recommendations to drive client goals, and collaborate with internal partners to drive cross-functional success. Sound like you? Read on.

Requirements

5-7 years of experience in analytics or strategy with an advertising agency, management consulting company, or ad tech company
Experience managing a team
Strong analytical, critical thinking, and problem solving skills
Experience with modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.)
Knowledge of digital data technologies (DMPs, Google Analytics, digital pixel tracking, site tagging, etc.)
A four-year college degree; advanced degree is a plus
Passion for online advertising and emerging trends in the digital landscape
The ability to thrive in a fast-paced and deadline-driven environment

Nice To Haves

Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Responsibilities

Providing and presenting strategic data-driven recommendations across channels to improve client decision-making and ROI
Building effective marketing strategies with other internal partners to optimize client budgets and programs
Leading a team of Analysts and Senior Analysts through regular client reporting, ensuring their growth as they progress through their career
Serving as a client and internal resource on industry trends and key functional areas such as analytical tools and marketing measurement
Evaluating new online and offline data opportunities in the form of new sources, new technology, client priorities, partnership, etc.
Fostering creative thinking around how we use data, and we could use data to solve unique business challenges in support of all Marketing activities (Media, Creative, CRM, and eCommerce).