Director, Advanced Analytics

Horizon Media•New York, NY

21h•$175,000 - $195,000•Hybrid

About The Position

Horizon Next, a division of Horizon Media, is seeking a highly motivated Director to elevate and maintain its marketing analytics offering for a fast-growing client base. The Director will lead a team and help develop and maintain statistical models that support better decisions about clients’ marketing investments. The role combines hands-on programming and model development with team leadership, client engagement, and the development of scalable analytics methods. Analytics engagements may include in-market testing, campaign measurement, marketing effectiveness and ROI, customer journey analytics, CRM, digital analytics across websites, mobile, apps and social media, forecasting, financial analysis, and user-level analysis. The Director will work with clients, account teams, internal stakeholders, third-party vendors, and Horizon operational teams. The position reports directly to the VP, Advanced Analytics, with a dotted-line reporting relationship to the client vertical.

Requirements

Master’s degree in a mathematical or quantitative discipline, such as Statistics, Economics, or Predictive Analytics; an advanced degree or comparable knowledge of statistics and mathematics is also specified.
At least five years of experience in data and analytical functions in an agency or consulting environment, including at least three years of team management experience.
Proficiency with statistical analysis tools such as Python and R, and databases such as SQL.
Experience with direct-to-consumer (DTC) and data-heavy clients.
Ability to develop proprietary statistical models, design A/B tests, execute Marketing Mix Models, and develop multi-touch attribution algorithms.
Ability to work directly with data and communicate with clients about their business questions.
Familiarity with advertising technology, including ad servers such as DCM, DSPs such as TTD and DV360, and SEM.
Expertise in marketing response modeling, including models that determine cost per acquisition or return on investment of marketing expenditures.
Programming and scripting experience, including R or Python, with expertise in data wrangling, regression, and machine-learning functions.
SQL and general business intelligence software expertise.
Ability to manage business relationships, work on multiple projects in a fast-paced environment, and translate technical topics into business terminology for clients.
Creative thinking, strong problem-solving skills, proactivity, and an entrepreneurial spirit.

Nice To Haves

Deep expertise in advertising platforms and/or the ad tech industry.
Four to six years of experience in Advanced Analytics, preferably in media or an adjacent field.
Two to four years of team-management experience.

Responsibilities

Manage and mentor a growing and diverse team.
Create and elevate analytics methodologies and build a replicable statistical framework for use across multiple clients.
Develop, train, and productionalize new models for media optimization and improved client business results.
Work with clients and account teams to assess business and marketing challenges, discuss possible solutions, and execute plans.
Oversee team modeling inputs and outputs, collaborating with Business Intelligence and Data Engineering to make data processes automated and efficient.
Build marketing mix models, diminishing-returns analyses, and campaign test designs to assess and inform client return on media investment.
Spearhead new analytical initiatives that produce actionable client insights.