Multifamily Product Analysis - Professional

Freddie Mac•McLean, VA

6d•$80,000 - $120,000

About The Position

The Product Analyst supports product delivery and business transformation for Freddie Mac Multifamily Technology, within the Capital Markets business line. Working closely with the Product Owner, delivery teams, and stakeholders, the analyst clarifies customer and business needs, translates them into well-defined requirements, and helps measure outcomes. The role connects business strategy to execution through analysis, sizing inputs, backlog refinement, and visibility into intended outcomes. The position takes a business-process-first approach, documenting current- and future-state processes and decomposing them into capabilities and functional components to inform process reengineering and requirements. In collaboration with Product and delivery teams, the analyst drafts and refines features and user stories, including acceptance criteria, and ensures backlog items are clear and ready for estimation. The role incorporates customer pain points, usability findings, and market or industry insights into design and delivery. The Product Analyst collaborates across UX, Change Management, Development, Architecture, Data, and other teams, and communicates status, insights, and risks, escalating issues with recommended options when needed. The role also supports development and deployment activities, including process redesign, Day 1 readiness, risk and controls documentation, user-story testing, and UAT. It contributes to identifying and documenting responsible AI use cases while considering governance, risk, and control expectations.

Requirements

Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent experience.
2–4 years of experience in product or business analysis, product operations, or a related role supporting technology delivery.
Experience in the mortgage, real estate, or broader financial services industry.
Proficiency with the Atlassian software suite (Jira, Confluence) or similar agile management tools.
Experience working with agile delivery teams, such as Scrum or Kanban, and supporting backlog refinement, business process documentation, and requirements management.
Strong analytical, strategic, and problem-solving skills, including the ability to use data and stakeholder input to inform recommendations.
Strong written and verbal communication skills, including the ability to facilitate working sessions and clearly document outcomes.
Comfort operating in ambiguous environments and flexibly managing multiple concurrent priorities.

Responsibilities

Partner with the Product Owner and internal and external customers to understand customer needs, operational workflows, and desired outcomes.
Document product goals, customer needs, decisions, and requirements; clarify scope and keep teams aligned.
Analyze current- and future-state business processes, decomposing them into capabilities and functional components to support process reengineering and requirements definition.
Draft and refine features and user stories, including acceptance criteria, in collaboration with Product and delivery teams.
Support backlog refinement by making sure items are clearly defined, ready for estimation, and aligned with intended outcomes.
Provide analysis, sizing inputs, and outcome visibility to connect business strategy with backlog execution.
Incorporate customer pain points, usability findings, and market or industry insights into customer-driven design.
Coordinate with UX, Change Management, Development, Architecture, Data, and other connected teams to support delivery and rollout.
Communicate status, insights, and risks; escalate issues with recommended options when appropriate.
Support development and deployment activities, including process redesign, Day 1 readiness, risk and controls documentation, testing user stories, and UAT.
Help identify and document AI use cases that may improve decision-making, automation, customer experience, or operational efficiency, considering governance, risk, and control expectations.
Advocate for customer needs, validate assumptions through feedback loops, and help ensure delivered capabilities address real problems.