Note: The job is a remote job and is open to candidates in USA. Innovatix Technology Partners is seeking a Pricing Strategy Analyst for an ongoing, full-time contract engagement. The role supports pricing and consumer-packaging business cases for DirecTV Stream, leads network add/drop decisioning, interprets market and customer analytics, and develops decision-ready recommendations. The analyst will also apply pay-TV, streaming, or telecommunications expertise and communicate findings through clear written narratives and presentations.
Responsibilities
- 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
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 logic
- Strong slide/narrative tooling (PowerPoint) to package analysis into decision-ready recommendations
- 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
Benefits
- Remote work
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