Manager, Advanced Analytics

Horizon Media•New York, NY

1d•$125,000 - $150,000•Hybrid

About The Position

The Manager, Advanced Analytics applies sophisticated modeling and other advanced analytic techniques to guide clients’ media spending plans and make their investments more efficient. The role designs, develops, and executes ongoing analytic processes, while building and maintaining relationships with clients, internal stakeholders, third-party vendors, and operational teams. The position provides thought leadership and advances analytic capabilities through innovation. About 50% of the role is devoted to analytics for a key client vertical, including developing analyses and applications tailored to that part of the business. The position reports directly to the Horizon Chief Analytic Officer and has dotted-line reporting to the client vertical. The role leads development of a campaign measurement framework, models and analyses for product launches and initiatives, improvements to existing data and analytics infrastructure, and new capabilities. It also uses automation and technology to improve efficiency and scale, evaluates external best practices, and manages project execution. The Manager builds working relationships across Horizon Next and other internal groups, serves as a liaison among Analytics, Brand, Activation, and Operations, and manages client and brand interactions. Supervisory duties include training, mentoring direct reports, and supporting their career growth.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.
3–5 years of experience in advanced analytics.
1–3 years of experience managing teams.
Excellent problem-solving skills and persistence in resolving issues.
Analytical mindset and knowledge of and passion for media, data, and technology.
Ability to produce clear, concise, comprehensive analyses that explain the story behind the data.
Business acumen and understanding of how analytics supports business decision-making.
Ability to structure vague or unstructured requests and discussions.
Comfort with ambiguity and change, and ability to work through obstacles.
Creative, collaborative, pragmatic, and solutions-oriented approach.
Strong verbal communication and organizational skills.
Proven effectiveness in managing business relationships.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Ability to put data in the context of client business questions and needs when making model-design and reporting decisions.
Ability to create readable, replicable code aligned with team processes and procedures.
Understanding of the data, analytics, and media ecosystem, including social, programmatic, SEM, and TV.

Nice To Haves

Advanced marketing response modeling expertise, such as marketing mix modeling (MMM).
Advanced analytics experience in media or an adjacent field.
Consulting skills, including developing mutually owned solutions with business partners and solving complex problems through creative and conceptual reasoning.
Technology platform expertise in R, SQL, and Python.
Proactive, entrepreneurial approach and strong problem-solving skills.

Responsibilities

Lead development of a campaign measurement framework for a key client vertical.
Spearhead modeling and analytic efforts to provide insights into new product launches and initiatives.
Improve the use of Horizon’s existing data and analytics infrastructure.
Work with stakeholders to improve analytic processes and develop new capabilities.
Use automation and technology to increase efficiency and support scale.
Explore and assess external best practices and translate relevant practices into internal applications.
Manage and execute individual projects.
Establish and maintain effective working relationships with key functional areas, Horizon Next Analytics, and other stakeholders.
Act as a liaison between Analytics and internal Brand, Activation, and Operational teams.
Manage extensive brand-team and client interactions on a day-to-day basis.
Train and mentor direct reports and guide their career growth.
Develop analyses and applications targeted to a key client vertical.
Translate technical subject matter into business terminology and communicate analytical findings.
Deliver timely, high-quality work and create efficiencies for recurring client deliverables.