Director, Advanced Analytics

Horizon Media•New York, NY

1d•Hybrid

About The Position

Horizon Next is seeking a Director, Advanced Analytics to elevate and maintain its marketing analytics offering. This role is crucial for serving a fast-growing client base and involves leading engagements and developing statistical models to drive maximum business results. The position requires hands-on programming skills, a creative mindset, and the ability to manage a team. Analytic engagements can span various areas including in-market testing, campaign measurement, ROI determination, customer journey analytics, CRM, digital analytics, forecasting, financial analysis, and user-level analysis. Strong knowledge of statistical analysis tools like Python or SQL, and familiarity with marketing platforms and terminology are essential. The role also involves cultivating relationships with clients, internal stakeholders, and external vendors. This is a high-growth, high-visibility position in a dynamic industry.

Requirements

Master’s degree in a mathematical or quantitative discipline (Statistics, Economics, Predictive Analytics, etc.).
5+ years or more experience in data & analytical functions in an agency/ consulting environment
At least three years of team management experience
Proficiency with statistical analysis tools such as Python and R, as well as database (SQL)
Experience with DTC and data heavy clients is a must
Ability to develop proprietary statistical models, design A/B tests, execute Marketing Mix Models and multi-touch attribution algorithms
Ability to both get the hands dirty with data and communicate with clients on their business questions
Familiarity of changing landscape of ad tech within Ad Servers (DCM), DSPs (TTD, DV360), SEM
Managing 2-3 junior analytics’ members

Nice To Haves

4 - 6 years of experience required in the Advanced Analytics realm, preferably in media or an adjacent field.
2-4 years of experience managing teams required.
Advanced degree required or comparable knowledge of statistics and mathematics
High-end marketing response modeling expertise, models which determine the Cost per Acquisition or Return on Investment of marketing expenditures.
Proven effectiveness in managing business relationships.
Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously.
Deep expertise in advertising platforms and/or the ad tech industry preferred.
Media Mixed Modeling necessary
Programming/scripting experience a must (R, Python), must have expertise in data wrangling as well as regression and machine learning functions.
General Business Intelligence software expertise (SQL).
Ability to be client facing and translate technical subject matter into relatable business terminology and respond to unexpected questions on the spot.
Creative thinker that is willing to challenge the norm to improve analytic processes.
Proactive individual with strong problem-solving skills and an entrepreneurial spirit.

Responsibilities

Manage and mentor a growing and diverse team
Create and elevate current analytics methodology, build a replicable statistical framework to rollout across multiple clients
Develop, train, productionalize new models to be used to media optimization and driving client business
Working closely with clients and account teams to assess business and marketing challenges, discuss the possible solutions, and execute a plan.
Oversee team modeling outputs and inputs, working with Business Intelligence and Data Engineering team to assure data processes are automated and efficient
Build marketing mix modeling, diminishing returns analysis and campaign test design to assess and inform client return on media investment
Spearhead new analytical initiatives to drive actionable insights for our clients