We're seeking a Growth & Signature Packaging Strategy Contractor to support our Consumer Video/Streaming business. This ongoing, full-time contract role sits at the intersection of consumer packaging strategy, pricing, and content decisioning - driving high-stakes business cases for Stream while bringing deep pay-TV, streaming, or telco expertise to the table. You'll translate quantitative signals into decision-ready recommendations, own Add/Drop decisioning as a core responsibility, and stress-test every recommendation with sharp analytical rigor and compelling storytelling. If this sounds like you, we'd love to hear from you - apply today!
Pay rate:$60/hr on w2 to $68/hr on w2
Remote role
Responsibilities:
Support/lead consumer packaging and pricing business cases end-to-end for Stream - 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 decisioning 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
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
Required Qualifications:
Advanced Excel/spreadsheet modeling (market sizing, pricing scenarios, sensitivity analysis)
SQL literacy - able to query, pull, and validate data independently (even if not writing complex production code)
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
Analytically fluent - hands-on coding is not required, but strong quantitative interpretation skills are essential
Nice to Have:
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
Opportunity Awaits.
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