Senior Analyst, Advanced Analytics

About the Role

Key Responsibilities

• Assist in statistical modeling and analytic efforts 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 the company 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 internal applications.
• Establish and maintain excellent working relationships 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.
• Manage extensive brand team and client interactions and day-to-day operations.

Requirements

• Excellent problem solving skills and a dogged determination to work issues through to resolution.
• Analytical mindset with knowledge and passion for media, data, and technology.
• Ability to generate clear, concise, and comprehensive analyses that tell the story behind the data.
• Business acumen and understanding of strategic levers of the business.
• Ability to put structure around vague and unstructured requests/discussions.
• Persistence and tenacity to complete complex tasks.
• Comfort dealing with ambiguity and managing change.
• Creative thinking to challenge the norm and improve analytic processes.
• Collaborative attitude and a can-do approach.
• Pragmatic mindset to develop solutions and communicate relevance.
• Ability to translate technical subject matter into relatable business terminology.
• Proven effectiveness in managing business relationships.
• Experience in fast-paced environments managing multiple projects.
• Hands-on programming/scripting experience in R, Python, SQL.
• Experience with large data sets ('big data') analysis is a major plus.
• Bachelor's degree required plus 1-2 years of industry experience; Master's degree preferred plus 0-2 years.
• Experience in advanced analytics, preferably in media, marketing, or adjacent fields.
• Advanced statistical modeling experience (e.g., regression, predictive modeling, inferential statistics).
• Specific marketing response modeling expertise such as MMM is a plus.

Nice to Have

• Deep expertise in advertising platforms and/or the ad tech industry.

Qualifications

• Bachelor's degree required, with 1-2 years of industry experience; Master's degree preferred with 0-2 years.
• Experience in advanced analytics, media, marketing, or related fields.
• Proficiency in programming/scripting languages such as R, Python, SQL.

Benefits & Perks

• Competitive salary range of $100,000 - $120,000, based on experience and qualifications.
• Discretionary bonus and a variety of benefits including health insurance, life and disability insurance.
• Retirement savings plans, company paid holidays, and unlimited paid time off (PTO).
• Mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.