Growth Strategy Analyst

Summary:

• Duration: Ongoing, full-time contract engagement

Responsibilities:

• Support and lead consumer packaging and pricing business cases end to end for the company’s streaming services—framing hypotheses, sizing the addressable market, weighing cannibalization risk against signature packages, and proposing low-investment test paths before a full build.
• Own Add/Drop decision-making as a core, recurring responsibility—evaluating which networks and content to add or remove based on cost, engagement, churn risk, and competitive positioning, and translating programming economics into clear consumer-packaging trade-offs.
• Direct and interpret quantitative work (market sizing, competitive pricing, customer surveys, UX and call-center signals, churn analysis) into a coherent, decision-ready point of view—analytically fluent, though hands-on coding is not required.
• Bring required pay-TV, streaming, or telco expertise—understanding how packages are built and marketed, how carriage and content economics work, and where contract or pricing "gray areas" create new opportunities rather than fixed constraints.
• Stress-test every recommendation against a credible opposing view and challenge stakeholder assumptions (while welcoming the same), backed by strong written and verbal storytelling.

Requirements:

• Advanced Excel/spreadsheet modeling (market sizing, pricing scenarios, sensitivity analysis)
• SQL literacy—able to query, pull, and validate data independently
• Data interpretation and visualization (reading dashboards; building clear charts/tables in Tableau, Power BI, or similar)
• Comfort with survey, UX, and call-center data sources and basic segmentation logic
• Strong slide/narrative tooling (PowerPoint) to package analysis into decision-ready recommendations

Preferred Skills:

• Databricks familiarity (notebooks, navigating a lakehouse environment)
• Exposure to AI/LLM agents or automation for competitive and market monitoring
• Python or R for lightweight analysis
• Familiarity with subscriber/churn analytics or media-measurement data (Nielsen, Comscore, or internal viewership feeds)
• Basic understanding of A/B or in-market test design