Director, Advanced Analytics

Horizon Media•New York, NY

5d•$175,000 - $195,000•Hybrid

About The Position

Horizon Next, a division of Horizon Media, is seeking a Director to elevate and maintain its marketing analytics offering for a fast-growing client base. The role leads a team and contributes hands-on to developing and productionalizing statistical models that help clients make effective marketing-spend decisions. Engagements may include in-market testing, campaign measurement, marketing effectiveness and ROI, customer journey analytics, CRM, digital analytics, forecasting, financial analysis, and user-level analysis. The Director develops analytics methodologies and replicable statistical frameworks, oversees modeling and data processes, and works with clients and account teams to understand business challenges and carry out analytical plans. The position collaborates with internal stakeholders, Business Intelligence and Data Engineering teams, third-party vendors, clients, and Horizon operational teams. It reports directly to the VP, Advanced Analytics, with a dotted-line reporting relationship to the client vertical. This is a high-growth, visible role in a dynamic, fast-paced industry.

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 required.
At least 5 years of experience in data and analytical functions in an agency or consulting environment, including at least 3 years of team management experience.
The posting also specifies 4–6 years of experience in Advanced Analytics and 2–4 years of team-management experience.
Experience with direct-to-consumer (DTC) and data-heavy clients.
Proficiency with statistical analysis tools such as Python and R, and databases such as SQL.
Ability to develop proprietary statistical models, design A/B tests, execute Marketing Mix Models, and build multi-touch attribution algorithms.
Marketing response modeling expertise, including models that determine cost per acquisition or return on investment of marketing expenditures.
Programming or scripting experience, with expertise in data wrangling, regression, and machine-learning functions.
Experience with media mixed modeling.
Ability to work hands-on with data and communicate with clients about business questions.
Familiarity with the changing ad-tech landscape, including ad servers such as DCM, DSPs such as TTD and DV360, and SEM.
Ability to manage multiple projects simultaneously in a fast-paced environment.
Ability to face clients, explain technical subject matter in business terms, and respond to unexpected questions in the moment.
Creative, proactive problem-solving approach and an entrepreneurial spirit.

Nice To Haves

Deep expertise in advertising platforms and/or the ad-tech industry.
Experience in media or an adjacent field.

Responsibilities

Manage and mentor a growing, diverse team.
Develop and elevate analytics methodologies and build replicable statistical frameworks for use across multiple clients.
Develop, train, and productionalize models for media optimization and client business results.
Work with clients and account teams to assess business and marketing challenges, discuss solutions, and execute plans.
Oversee modeling inputs and outputs, partnering 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 analytical initiatives that generate actionable client insights.
Cultivate and maintain effective working relationships with clients, internal stakeholders, third-party vendors, and Horizon operational teams.
Apply hands-on programming and model-development skills, including data wrangling, regression, and machine-learning functions.
Manage business relationships and communicate technical subject matter in relatable business terminology.