Senior Business Analyst (Contract)

MSQ DX

1h•$125,000 - $145,000•Hybrid

About The Position

MSQ DX is seeking a Business Analyst to enhance delivery and requirements capacity for a forecasting product line within the healthcare sector. This role will support the existing Product Manager by contributing to the strategic vision of the forecasting platform as part of a broader strategy intelligence experience and future AI-enabled decision workflows. The position is hybrid, with a primary focus on business analysis (requirements, documentation, methodology translation) and secondary project management responsibilities (backlog health, sequencing, cross-team coordination). The ideal candidate will be adept at transforming ambiguous methodological and data-related inquiries into precise product requirements and ensuring efficient delivery without impeding engineering progress.

Requirements

Strong business analysis fundamentals: requirements gathering, documentation, and translating ambiguity into clear specs.
Solid project/product management fundamentals: backlog management, sequencing, cross-team coordination.
Comfort communicating data assumptions and methodology to both technical and non-technical stakeholders.
Experience working across capability areas (i.e., not siloed to one team or workflow).
Familiarity with AI-ready documentation and trusted analytics concepts.
Strong written communication skills.
Experience with Azure DevOps (ADO) or similar backlog/work-tracking tools.

Nice To Haves

Healthcare utilization and demand forecasting experience
Scenario modeling experience
Background in strategic planning or service-line growth decision support
Experience with Sigma and/or Databricks
Prior experience embedded within a client organization as a contract PM/BA

Responsibilities

Epics, features, stories, and backlog sequencing.
Regular forecast release and enhancement work.
Documentation and planning for a new forecast engine and methodology translation.
Scenario modeling and future-state assumptions, documented clearly for stakeholders.
Integration points between forecasting product, claims data, clearinghouse data, market data, and decision-support workflows.
Requirements for Forecast’s AI chat/assistant capabilities.
Support for experience design across Forecast entry points, workflows, and analytics surfaces.
Alignment between Forecast data readiness and the broader platform delivery roadmap.