MSQ DX is seeking a Hybrid Contract Business Analyst to provide additional delivery and requirements capacity for a forecasting product line in the healthcare space. This role supports the Product Manager while helping define how the forecasting platform becomes part of a broader strategy intelligence experience and future AI-enabled decision workflows. This contract position focuses on business analysis (requirements, documentation, and translating ambiguous methodology into clear product requirements) while also carrying core project management responsibilities (backlog health, sequencing, and cross-team coordination). The right candidate will translate ambiguous methodology and data questions into well-formed product requirements and keep delivery moving without becoming a bottleneck for engineering. What you’ll be doing: Epics, features, stories, and backlog sequencing; Regular platform releases and enhancements; Documentation and planning for a new forecast platform engine and methodology translation; Scenario modeling and future-state assumptions documented for stakeholders; Integration points between forecasting product, claims data, clearinghouse data, market data, and decision-support workflows; Requirements for AI chat/assistant capabilities; Support for experience design across platform entry points, workflows, and analytics surfaces; Alignment between platform data readiness and the broader platform delivery roadmap. Key responsibilities: Establish and maintain a clear, healthy backlog and near-term roadmap; Coordinate product decisions across product SMEs, Data

MSQ DX is seeking a Hybrid Contract Business Analyst to provide additional delivery and requirements capacity for a forecasting product line in the healthcare space. This role supports the Product Manager while helping define how the forecasting platform becomes part of a broader strategy intelligence experience and future AI-enabled decision workflows. This contract position focuses on business analysis (requirements, documentation, and translating ambiguous methodology into clear product requirements) while also carrying core project management responsibilities (backlog health, sequencing, and cross-team coordination). The right candidate will translate ambiguous methodology and data questions into well-formed product requirements and keep delivery moving without becoming a bottleneck for engineering. What you’ll be doing: Epics, features, stories, and backlog sequencing; Regular platform releases and enhancements; Documentation and planning for a new forecast platform engine and methodology translation; Scenario modeling and future-state assumptions documented for stakeholders; Integration points between forecasting product, claims data, clearinghouse data, market data, and decision-support workflows; Requirements for AI chat/assistant capabilities; Support for experience design across platform entry points, workflows, and analytics surfaces; Alignment between platform data readiness and the broader platform delivery roadmap. Key responsibilities: Establish and maintain a clear, healthy backlog and near-term roadmap; Coordinate product decisions across product SMEs, Data