Business Analyst
US$90,000 – US$130,000 / yr base salary
Posted 13 Oct 2026
Advertised as “Business Analyst III - Data, Automation & AI ”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- III
- Expected experience
- 5–7 yrs
- Management level
- People management
- Employment
- Hybrid
- Visa sponsorship
- Not offered
| Base salary | US$90,000 – US$130,000 / yr |
|---|
CertificationsCBAP, CCBA, PMI-PBA
At Northmarq, you can be part of something special. Northmarq is a unique capital markets resource for commercial real estate investors, providing our clients access to experts in debt, equity, investment sales, loan servicing, and fund management. We offer you a career path with best-in-class training, and we foster inclusive teams committed to collaboration, mentoring, and growth. At Northmarq, we will help you unlock your potential – whether you are an industry veteran or you’re just getting started. Your new career is waiting. Start something special today. Northmarq was voted by Real Estate Forum as one of The Best Places to Work in Commercial Real Estate!
Northmarq is seeking an experienced Business Analyst III in its Bloomington, MN headquarters office. The Business Analyst III owns discovery and requirements for large, complex, or cross-functional initiatives, bringing structure to ambiguous problems, aligning senior stakeholders, and documenting the decisions, assumptions, dependencies, risks, and tradeoffs that shape delivery. This role also strengthens the analysis discipline by mentoring other analysts, improving standards and practices, and influencing solution direction, with success measured by independent ownership, complexity handled, stronger team capability, durable stakeholder alignment, and sustained requirements quality.
Northmarq does not provide immigration sponsorship for this position. Candidates must possess unrestricted authorization to work in the U.S. for any employer, without the need for sponsorship now or in the future, to be considered for this position.
*This role supports a flexible schedule that prioritizes in‑office teamwork, with flexibility for remote work when appropriate.
Specialization: Data, Automation & AI
Demonstrated expertise in:
• Data platforms, integration, analytics, and reporting.
• Workflow automation and intelligent process improvement.
• AI-enabled products, copilots, and agent-based capabilities.
• Data governance, quality, privacy, and responsible AI practices.
• AI evaluation, risk management, and human oversight.
• Applying data, automation, and AI to improve business outcomes.
Responsibilities
• Own end-to-end discovery and requirements for large, complex, or cross-functional initiatives, from initial framing through delivery and adoption.
• Structure ambiguous or loosely defined problems into a clear analysis approach, sequence of decisions, and set of deliverables.
• Produce and maintain the requirements artifacts a complex initiative needs, including user stories, acceptance criteria, process and data flows, business rules, and integration or data mappings.
• Anticipate downstream impacts, exception paths, integration needs, and organizational dependencies before they affect delivery.
• Facilitate alignment among senior stakeholders with different needs, constraints, and priorities, and drive open questions to closure.
• Present analysis, options, and recommendations clearly to business and technology leaders, including the implications of each option.
• Influence solution direction by framing tradeoffs in terms of business outcome, risk, effort, and downstream cost.
• Support roadmap and prioritization discussions with evidence, impact assessments, and clearly stated dependencies.
• Mentor Junior Business Analysts and Business Analysts in discovery facilitation, story structuring, and documentation standards.
• Review the work of other analysts and provide specific, constructive feedback that measurably improves quality.
• Improve analysis standards, templates, and practices, and help the team adopt them consistently.
• Contribute to onboarding and knowledge sharing so that domain expertise is not concentrated in one person.