Manager, Analytics Engineering
Location: United States - Remote
Updated on: July 26, 2022
We are looking for a leader in our Analytics Engineering team to work with our BI and Analytics Data Engineers. We are an embedded engineering squad within Analytics under the Product organization at MediaMath.
Our team is responsible for data infrastructure, custom analytics platforms, and dashboards that power high-volume reporting and insights consumed by other teams at MediaMath as well as our global book of business consisting of advertising holding companies, independent agencies, and reseller partners.
The data engineers on our team support low-level Analytics functions through complex Spark ETL pipelines, and high-level enterprise operations through home-grown custom automated reporting platforms consisting of various Python microservices used to query big data sets, generate, and deliver results with high concurrency and consistency.
The ideal Manager for our team will employ an efficient model to overseeing day-to-day operations, supporting and unblocking our engineers from technical or logistic obstacles, and ensuring work requests are completed within a timely manner.
Why We Work at MediaMath
We are restless innovators, smart, passionate and kind. At the heart of our culture are three values that provide a framework for how we approach our work and the world: Win Together, Obsess Over Growth, and Do Good, Better. These values inform how we energize one another and engage with our clients. They get us amped to come to work.
Founded in 2007 as a pioneer in "programmatic" advertising, MediaMath is recognized as a Leader in the Gartner 2020 Magic Quadrant for Ad Tech and has won Best Account Support by a Technology Company for two years in a row in the AdExchanger Awards.
MediaMath is committed to equal employment opportunity. It is a fundamental principle at MediaMath not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.