Director - Subscriber Growth Forecasting

Net2Source (N2S); Village of Nyack (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Net2Source (N2S) seeks a Director - Subscriber Growth Forecasting to develop models for subscriber growth and optimize marketing investments. This key role will collaborate across Data Science, Marketing, Finance, and BI teams, driving informed decision-making and business impact.

The ideal candidate will have over 8 years of experience in analytics or strategic planning, with strong skills in forecasting methodologies, statistical modeling, and advanced Excel.

Qualifications

• 8+ years of experience in forecasting, analytics, or strategic planning within subscription‑based or media businesses.
• Strong proficiency in forecasting methodologies and statistical modeling.
• Advanced Excel skills and experience with BI tools and data visualization platforms.
• Excellent communication and stakeholder management skills.

Responsibilities

• Own subscriber forecasts and measure performance across cohorts.
• Lead process to analyze model inputs for revenue and growth modeling.
• Collaborate with teams to maintain forecasts and ensure goal alignment.
• Analyze growth and churn factors and develop promotional scenarios.

Skills

Forecasting methodologies

Statistical modeling

SQL queries

Communication skills

User experience curiosity

Education

Bachelor’s degree in Business, Economics, Data Analytics, or related field

MBA

Tools

Tableau

Power BI

Job description

• Job Title: Director - Subscriber Growth Forecasting
• Location: New York, NY (Preferred) Los Angeles CA, will also work
• Work Mode: Onsite
• Client: Media & Entertainment

Job Description

The Director of Subscriber Forecasting will lead the development and optimization of forecasting models for subscriber growth, churn, and lifetime value (LTV). This role serves as a strategic liaison across Data Science, Marketing, Finance, and BI teams, ensuring accurate projections, informed decision‑making, and optimized marketing investments. This role will help with strategic initiatives, including national and targeted promotions. The ideal candidate combines analytical expertise with strong cross‑functional collaboration skills to drive business impact.

Responsibilities

Own subscriber forecasts and measure performance, including subscriber acquisition by cohort and short- and long-term subscriber retention in close collaboration with the Data Science, marketing and finance teams to help model revenue and future growth trends.

Lead process to collect and analyze model inputs across acquisition, retention and partnership leads to incorporate all perspectives and analyze how different promotions and platforms impact the business.

Analyze subscriber growth and churn to identify factors that drive performance, describe reasons for variance to plan and identify potential levers to accelerate business growth.

Collaborate with the Data Science, Title Marketing, and Paid Media teams on developing and maintaining forecasts for new starts, churn, and subscriber base.

Act as the key liaison between Marketing, Finance, BI, and Data Science teams to ensure alignment on subscriber goals with a seamless forecasting process.

Develop platform‑level forecasts and allocate marketing budgets using MMM to optimize performance across channels.

Provide regular updates on weekly and monthly reporting on pacing, actuals vs. goals, and forecast accuracy.

Partner with BI teams to automate reporting and dashboards for the executive team.

Develop promotional scenarios with incrementality goals and perform post‑promotion assessments against business case goals to measure impact.

Qualifications

8+ years of experience in forecasting, analytics, or strategic planning within subscription‑based or media businesses.

Strong proficiency in forecasting methodologies, statistical modeling, and scenario planning.

Strong understanding of retention cohorts and curves.

Advanced Excel skills; experience with BI tools and data visualization platforms (e.g., Tableau, Power BI).

Proficiency in writing and optimizing SQL queries to extract, analyze, and manipulate data.

Excellent communication and stakeholder management skills.

Curiosity for user experiences powered by machine learning, algorithms and recommendation systems.

Experience working with multi‑platform products on mobile, web and OTT.

Preferred Skills

• Familiarity with machine learning techniques and predictive modeling.
• Ability to develop scripts in Python (or similar languages such as R) for data manipulation and modeling.
• Capability to work in a fast‑paced and constantly changing environment.

Education and Experience

Analytical and strategic thinker with strong business acumen.

Highly collaborative and able to work across multiple teams and priorities.

Detail‑oriented with a focus on accuracy and continuous improvement.

Bachelor’s degree in Business, Economics, Data Analytics, or related field; MBA preferred.

Mandatory Skills

• Content Workflow Management
• E2E Media Supply Chain