About the Role
Horizon Next is seeking a motivated individual to lead and enhance marketing analytics offerings within the Advanced Analytics team. This role involves managing a team, developing statistical models to optimize client marketing spend, and hands-on programming. The position requires a creative mindset and the ability to cultivate strong relationships with clients and internal stakeholders in a fast-paced industry.
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, and productionalize new models for media optimization and driving client business.
- Work closely with clients and account teams to assess business and marketing challenges, discuss solutions, and execute plans.
- Oversee team modeling outputs and inputs, collaborating with Business Intelligence and Data Engineering teams to ensure automated and efficient data processes.
- 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 clients.
Requirements
- Master’s degree in a mathematical or quantitative discipline (Statistics, Economics, Predictive Analytics, etc.).
- 5+ years of 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 hands-on with data and communicate with clients on their business questions.
- Familiarity with the changing landscape of ad tech within Ad Servers (DCM), DSPs (TTD, DV360), SEM.
- Managing 2-3 junior analytics members.
Skills
- Python
- R
- SQL
- Statistical analysis
- Marketing analytics
- Model development
- Media optimization
- Marketing mix modeling
- Diminishing returns analysis
- Campaign test design
- Return on investment analysis
- Data wrangling
- Regression
- Machine learning
- Ad tech
- Ad Servers (DCM)
- DSPs (TTD, DV360)
- SEM
- Business Intelligence software
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 5+ years of experience
- 3 years of team management experience
- 4-6 years of experience in Advanced Analytics
- 2-4 years of experience managing teams
Education Level
- Master's degree in a mathematical or quantitative discipline (Statistics, Economics, Predictive Analytics, etc.)
- Advanced degree or comparable knowledge of statistics and mathematics
Salary/Compensations
- $175,000.00 - $195,000.00
Benefits
- Discretionary bonus
- Health insurance coverage
- Life and disability insurance
- Retirement savings plans
- Company paid holidays
- Unlimited paid time off (PTO)
- Mental health and wellness resources
- Pet insurance
- Childcare resources
- Identity theft insurance
- Fertility assistance programs
- Fitness reimbursement
About the Company
- Horizon Next is an innovative and data-driven marketing organization at the intersection of people, data, and media.
- The company provides strategic leadership to accelerate client growth through brand strategy, media planning and investment, and analytics.
- Horizon Next is committed to understanding what's next in innovation, analytics, and media evolution.
- The company's goal is for tomorrow to outperform today.
- Horizon values diverse perspectives and strives for an environment where employees feel welcomed, safe, and empowered.
- Horizon Media is proud to be an equal opportunity workplace.
Equal Opportunity
- Horizon Media is proud to be an equal opportunity workplace.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
