Business Analyst (Contract)

Title: Business Analyst (Contract) Location: Remote - United States

IN SHORT

MSQ DX is looking for a Business Analyst to provide additional delivery and requirements capacity for a forecasting product line in the healthcare space. This role supports the existing Product Manager while helping define how the forecasting platform becomes part of a broader strategy intelligence experience and future AI-enabled decision workflows.

This is a hybrid role: heavier on the business analysis (requirements, documentation, methodology translation) while also carrying core project management responsibilities (backlog health, sequencing, cross-team coordination). The right person is comfortable translating ambiguous methodology and data questions into clear, well-formed product requirements, and keeping delivery moving without becoming a bottleneck for engineering.

Note: This is a contract position. 
WHAT YOU’LL BE DOING

• Epics, features, stories, and backlog sequencing.
• Regular platform release and enhancement work.
• Documentation and planning for a new forecast platform 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 AI chat/assistant capabilities.
• Support for experience design across platform entry points, workflows, and analytics surfaces.
• Alignment between platform's 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 subject-matter experts, Data Science, Engineering, and UX teams.
• Translate methodology changes into customer-facing requirements and acceptance criteria.
• Define how the product relates to and integrates with other platform capabilities.
• Clarify how outputs support broader decision-making workflows (e.g., identify → decide → act).
• Make assumptions, limitations, and reconciliation requirements explicit and visible to stakeholders.
• Help define ownership and scope for the product experience where it's currently unclear.
• Prepare product project work to support AI-enabled discovery, requirements, and validation.
• Maintain documentation that can support trusted data queries and future semantic/AI modeling needs.

WHAT YOU BRING

• 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 HAVE

• 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

What is a BA at MSQ DX?

The BA role and expectations tend to vary from company to company. At MSQ DX, BA’s often find themselves in a leadership role on their projects – they own the act of requirements gathering, documentation and the transformation of those requirements into user stories and tasks – thus knowing every aspect of a project in more detail than most other members of the team. Because of this, they must seamlessly be able to work with clients/product owners, solutions architects, developers, designers, and quality assurance personnel. An MSQ DX BA must be highly organized, self-guided and have a sense of pride and ownership in the work they produce. BAs at MSQ DX typically balance multiple client engagements at once, and are expected to embrace AI as part of their everyday workflow — using it to work faster and more thoughtfully, and helping surface new ways the broader team can put it to use.