Pricing Strategy Analyst

Role: Pricing Strategy Project ManagerDuration: 12+ monthsLocation: RemoteJob Description:

• Support/lead consumer packaging and pricing business cases end to end for DirecTV 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—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. Ongoing, full-time contract engagement

.Required Skills

• 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 logi
• Strong slide/narrative tooling (PowerPoint) to package analysis into decision-ready recommendationNice to Have

• Databricks familiarity (notebooks, navigating a lakehouse environmen
• 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