Horizon Next is looking to apply sophisticated statistical modeling and other advanced analytic techniques to help guide clients' media spending plans and make their investments more efficient.
Requirements
- Strong foundational knowledge of statistics and modeling (e.g. regression modeling/predictive modeling/inferential statistics) required, specific marketing response modeling knowledge such as MMM, a plus.
- Academic or applied exposure to Programming/scripting (R, Python, SQL).
- Experience in the Advanced Analytics realm, preferably in media, marketing or an adjacent field.
- Exposure to large data sets ('big data') and analysis thereof a major plus.
- Analytical mindset with knowledge and passion for media, data, statistics and technology.
- Experience with automation and technology to increase efficiency.
- Knowledge of data and analytics infrastructure
Responsibilities
- Assist in statistical modeling and marketing performance analysis to provide insights into media planning and buying.
- Constantly look for ways to improve the usage of Horizon's existing data and analytics infrastructure.
- Work with stakeholders to improve current analytic processes and develop new capabilities that set us apart in the marketplace.
- Use automation and technology to increase efficiency and to provide the infrastructure to scale.
- Bring an 'outside in perspective' to analytic development; explore, identify and assess external best practices - and translate to relevant application internally.
- Establish and maintain excellent working relationship with key functional areas, as well as HMI Analytics and other stakeholders throughout Horizon.
- Act as a liaison between the Analytics team and the internal Brand, Activation and Operational areas.
Other
- Bachelor's degree required plus 0-1 years of industry experience, Master's degree preferred (or, concurrent).
- Excellent problem-solving skills and a dogged determination to work an issue through to its satisfying conclusion are both a must.
- Ability to generate clear, concise and comprehensive analyses that tell the story behind the data.
- Strong verbal communication skills, extremely well-organized.
- Collaborative, can-do attitude, a must.
