Product Business Analyst
- Source: LinkedIn
- DIGITAL HARBOR, Inc.
- Remote
- Lehi
- Full-Time
- Mid level
Job Description
About Digital Harbor
Digital Harbor is a leading innovator in Composite Risk & Compliance solutions, supporting major U.S. financial institutions, government agencies, and healthcare organizations. Our platform delivers real-time analytics, case management, workflow, and dashboard technologies that help organizations manage complex business processes and risk.
As we expand our enterprise software and AI-driven capabilities, we are looking for product-focused professionals passionate about solving business problems, improving software experiences, and delivering measurable customer value.
About the Role
Digital Harbor is seeking a mid-level Product Business Analyst who combines strong business analysis capabilities with a developing Product Management mindset.
This position is particularly well suited for someone who has built a strong foundation in business analysis, product analysis, product ownership, or software solutions and is aspiring to grow into a Product Manager role . You will gain hands-on Product Management experience by helping shape product priorities, owning portions of the backlog and roadmap, analyzing customer and product data, recommending product improvements, and driving solutions from discovery through delivery and validation.
This is not a traditional requirements-gathering Business Analyst position. We are looking for someone who wants to think and operate increasingly like a Product Manager—asking why a problem matters, using customer feedback and data to inform decisions, proactively identifying opportunities, considering broader product impact, and taking ownership of product outcomes.
At the same time, you should be comfortable getting into the details of user stories, workflows, business rules, acceptance criteria, dependencies, and edge cases to give Engineering and QA the clarity needed to deliver successfully.
What You’ll Do
Product Management & Analysis
- Partner with customers, Product Management, Customer Success, Engineering, QA, UX/UI, and business stakeholders to identify customer problems, operational needs, and product opportunities.
- Understand the underlying business problem behind customer and stakeholder requests rather than simply translating requests into features.
- Analyze product usage, customer feedback, workflows, operational metrics, defects, and business processes to identify improvement opportunities.
- Own and maintain portions of the product backlog and roadmap in alignment with broader product and business objectives.
- Support prioritization by evaluating customer value, business impact, urgency, effort, dependencies, risks, and available data.
- Proactively recommend product enhancements, workflow automation, AI-enabled capabilities, and other improvements that increase customer or operational value.
- Consider both immediate customer needs and the broader impact of product decisions across customers and the platform.
Requirements & Solution Definition
- Translate customer and business needs into clear, actionable product requirements.
- Develop user stories, use cases, process flows, business rules, functional requirements, and acceptance criteria.
- Define expected system behavior, business outcomes, exceptions, edge cases, assumptions, and dependencies.
- Partner with Engineering to ensure proposed solutions are understood and technically feasible before development begins.
- Identify requirement gaps, conflicts, risks, and unanswered questions early in the development lifecycle.
- Refine requirements as new information becomes available while maintaining alignment with the original business objective.
- Ensure stories entering development are sufficiently defined for Engineering and QA to execute with minimal unnecessary clarification or rework.
Data-Driven Product Ownership
- Use quantitative and qualitative data to inform product recommendations and prioritization.
- Track and analyze product KPIs, including usage, engagement, adoption, defect trends, cycle time, operational efficiency, and customer satisfaction.
- Define measurable success criteria for significant product enhancements and evaluate whether delivered functionality achieved its intended outcome.
- Develop recommendations supported by customer impact, operational efficiency, risk reduction, product data, or other measurable business value.
- Clearly connect product changes to resulting customer and business outcomes.
Agile Product Delivery
- Participate actively…
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