Senior Manager Commercial Analytics

A top client in media industry is seeking a Senior Manager, Commercial Analytics to join our dynamic team on a long term contract basis. This is an individual contributor opportunity.

This position requires an onsite presence 3 days per week in New York City.

Responsibilities:

• Lead and manage advanced analytics projects from concept to execution, delivering innovative solutions that drive business growth and operational efficiency.

• Drive advanced analytics initiatives that accelerate subscriber and revenue growth

• Partner with marketing and cross-functional teams to design and evaluate A/B and multivariate experiments, providing robust statistical analysis and insights.

• Oversee high-impact projects involving experimental design, predictive modeling, and machine learning solutions

• Guide the development and implementation of best-in-class machine learning and statistical models to support key business initiatives.

• Translate complex quantitative analyses into clear, actionable insights through compelling data storytelling and visualization.

• Collaborate with data scientists, big data engineers, and business stakeholders

• Engage with senior business stakeholders to shape strategy, define success metrics, and influence data-driven decision-making across the organization.

• Present findings and recommendations to executive leadership, articulating the business impact of analytical initiatives.

• Foster strong partnerships with data science, engineering, and business teams to advance analytics maturity and innovation.

Required Experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, or a related quantitative discipline.

• 5-8+ years of progressive experience in data analytics, experimental design, and statistical modeling, preferably within a subscription-based or digital business.

• Advanced proficiency in SQL and Python

• Experience with Tableau, Databricks, AWS Redshift, and other data visualization and big data platforms.

• Experience with modern ML techniques: Causal ML (Meta Learners, forecasting), Neural networks, transformers, Sequential modeling (e.g., LSTM, transformers), Recommendation engines, advanced models beyond basic propensity scoring

• Strong research capabilities in order to identify algorithms that can be applied to the client’s current platforms and provide solutions to business problems.

• Demonstrated expertise in statistical testing, randomized experiments, and predictive modeling algorithms.

• Proven ability to manage complex projects, lead cross-functional teams, and deliver high-quality results under tight deadlines.

• Strong communication, presentation, and storytelling skills, with the ability to influence senior leaders and non-technical audiences.

• Excellent organizational, time management, and prioritization skills in a fast-paced, dynamic environment.

• Strong commitment to collaboration, internal client service, and continuous improvement.