Manager, Business Analytics (fuboTV Media Inc - New York, NY)

Subscription Analytics & Revenue Visibility (30%)
• Ensure the business maintains clear visibility into revenue, trials, conversion metrics, ARPU, lifetime value, acquisition costs, channel performance, and cohort modeling for a variety of
strategic purposes.
• Identify relationships and trends in data and present findings to relevant marketing teams on a regular basis.
• Proactively identify risks and opportunities based on planned business actions.
• Create customer personas and segmentation analyses to identify high-value customers; leverage these to develop look-alike audiences for acquisition and establish benchmarks for
retention and engagement.
• Develop lifetime value analyses for acquisition campaigns at a detailed level.

Revenue Growth & Cost-Cutting Initiatives (25%)
• Lead and drive high-visibility company projects focused on additional revenue generation and cost reduction, serving as a key stakeholder in cross-functional initiatives.
• Analyze company-wide data to identify cost inefficiencies and develop actionable recommendations for cost-cutting across business units.
• Partner with senior leadership to model revenue expansion opportunities, including new product lines, pricing optimization, and market penetration strategies.
• Design and execute analyses to quantify the financial impact of proposed strategic initiatives, providing data-driven recommendations to leadership.

High-Value Customer Analytics (20%)
• Develop and maintain comprehensive analytical frameworks to identify, monitor, and grow relationships with the company's highest-value customer segments.
• Devise new acquisition attribution models to reduce duplication across channels and maximize CPA efficiency for high-value customer acquisition.
• Build and maintain predictive models to forecast high-value customer churn, lifetime value, and upsell potential, enabling proactive retention and monetization strategies.
• Tie Google Analytics data and user demographic and engagement metrics - including viewership, feature usage, household data, and tenure - to high-value customer profiles to generate
actionable intelligence.

Advanced Analytics & Data Science (15%)
• Utilize advanced data tools, including SQL, R, and Python, to identify opportunities and liabilities through rigorous quantitative analysis.
• Develop mathematical and data visualization models to analyze data trends, generate findings, and produce actionable reports.
• Serve as the team's subject matter expert for Google Analytics; analyze campaigns to optimize spend across channels and content groups.
• Apply advanced information management systems theories, advanced database management, and big data analytics to make data-driven recommendations that optimize acquisition
campaigns.
• Share results of data mining by creating and presenting written reports, tables, charts, and graphs to team members and senior management.

Reporting, Dashboards & Cross-Functional Partnership (10%)
• Create and maintain new dashboards and reports to track, communicate, and visualize business outcomes using tools such as Tableau, and provide ongoing recommendations to
stakeholders.
• Partner with the data engineering team on data structures, reporting frameworks, and table architecture to ensure analytical accuracy and efficiency.
• Act as subject matter expert and analytics liaison with cross-functional teams, including Business Development and International, to ensure the success and optimization of their initiatives.
• Present analytical findings and strategic recommendations to senior leadership in support of major company-wide decisions.

Salary: $120,000 - $170,000/Year

Requirements: Master's degree in Data Science or a closely related field + 2 years of previous experience as a Data Analyst.