Product Analyst, Senior

About the position

At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. The ideal candidate will possess strong technical analytical skills and a passion for data analysis, with a strong business acumen. You will play a crucial role in interpreting and organizing data, primarily in JSON and XSD formats, to support business decisions and enhance operational efficiency. Your ability to multitask and lead multiple projects will be important to our success! Do you have passion to help build a software application that helps more people achieve the dream of homeownership? Do you thrive in a fast paced, hands on, data driven environment? If so, working as a Product Analyst, Senior on the Single-Family Underwriting and Risk Assessment (UWRA) team could be a good fit!

Responsibilities

• Assists the Product Owner by updating mapping documents, business models and communicating with partners regarding prioritized user-stories and write acceptance criteria in conjunction with product team for each sprint, making sure each story aligns to our Objectives and Key Results.
• Analyze sophisticated data sets in JSON and XML formats to identify trends, patterns, and insights that drive business strategy and decision-making.
• Collaborate with team members to collect and document business requirements, ensuring alignment between business needs and technical solutions.
• Develop and maintain organized data repositories, ensuring data integrity and accessibility for analysis.
• Find opportunities for process improvement and efficiency enhancements, proposing actionable solutions based on data analysis.
• Run multiple projects simultaneously, prioritizing tasks and deadlines to ensure timely completion of deliverables.
• Maintain clear and concise mapping documentation of analysis processes, methodologies, and findings for future reference.
• Enjoys troubleshooting a product/data question. Works as a facilitator in meetings to bring tech and non-tech partners together to innovate and tackle problems.
• Use applications in various non-production environments to test and demo product features Understands and proactively applies Modern Delivery practices.
• Actively participates in all agile ceremonies (stand-ups, planning, refinement sessions, demo's, etc.).
• Actively uses and is passionate about available technology to help build product. Applications include JIRA, Excel for pivot tables/data analytics, Word, PowerPoint, Project, Visio, Justinmind wireframes.
• Understands/quickly learns the basic tenets of credit and underwriting technology at Freddie Mac.
• Works with technical delivery team members and Single-Family Operations to define technical requirements in acceptable criteria.
• Comfortable being responsible to create Business Operational Readiness documentation to support all releases.

Requirements

• 5+ years of financial services work experience, preferably combined with agile software development.
• Bachelor's Degree or equivalent work experience.
• Mortgage related experience preferred, and moderate to strong MS Office and Excel data analytics skills.
• Experience working with and using Agile/Scrum methodology with active participation in Agile ceremonies; Certification from Scaled Agile Framework (SAFe) or Scrum Alliance preferred but not required.
• Strong presentation skills, including ability to facilitate meetings and work across Product teams.
• Comfortable learning, using and updating change control documentation per Change Management policies, procedures & processes.
• Support team in development process by working to define and test requirements based on product knowledge.
• Strong proficiency in data entities in context of SQL, JSON/XSD schemas, numeric, strings, enumerated, date and timestamps.
• Ability to understand and document Data Relationships (such as one to many, many to many etc.), cardinalities of relationships, primary unique keys, constraints for data attributes of different types, understanding of NULL data, defaulting of data.
• Basic querying data skill in both relational and NoSQL databases (preferably Mongo DB) using database UI Client applications (e.g. Rapid SQL or any other, Compass for MongoDB database or similar).
• Ability to partner across the Freddie Mac organization to support Product team goals.

Benefits

• Competitive compensation and market-leading benefit programs.
• Annual incentive program.