Director, Advanced Analytics

Who We Are 

Horizon Next is one of the industry's most innovative and data-driven marketing organizations and sits at the intersection of three constantly changing landscapes: people, data, and media. Our business provides strategic leadership to accelerate growth for our clients through brand strategy, media planning and investment, and best in class analytics across all channels. As the leader in innovative business solutions, we are always pushing ourselves to understand what’s next: our next innovation, our next advancement in analytics, the market’s next media evolution, and your next breakthrough idea. Horizon Next operates with the single goal that tomorrow must outperform today.   
 
At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.  

Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. 

Job Summary 
Searching for a highly motivated individual to elevate and maintain our marketing analytics offering within the Advanced Analytics team at Horizon Next, a division of Horizon Media, to serve our fast-growing client base.  

Prior experience working at a marketing agency or consulting firm leading marketing analytic engagements and development is required. Our clients are constantly evolving, and optimizing, we need to create smart models which help them make the best decisions possible with their marketing spend. The Director will manage a team and assist in the development of new and existing statistical models aimed to drive the maximum business results for our clients. The role will also require hands-on programming skills and model development as well as a creative mindset.  

Analytic engagements can include (but are not limited to) in-market testing, campaign measurement, determining marketing effectiveness and ROI, customer journey analytics, CRM, digital analytics (website, mobile, app and social media), forecasting, financial analysis, user-level analysis. Knowledge of statistical analysis and tools like Python or SQL, familiarity with marketing platforms data and terminology is required.  In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of parties including the clients, internal stakeholders (e.g. Brand and Activation), 3rd-party vendors, external clients, and operational areas within Horizon.  This is a high growth and visibility role in a highly dynamic and fast paced industry. 

What You’ll Do/ 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 

• Role will report directly to the VP, Advanced Analytics with a dotted-line reporting to that client vertical. 

Who You Are/ 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 with 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 

Preferred Skills & Experience  
Knowledge and Skills Required 

• 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. 

Certificates, Licenses and Registrations  
N/A 

 
Physical Activity and Work Environment 

N/A 

The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer. 

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