Why This Role Stands Out
Leverage your deep mortgage industry expertise and data analysis skills in this impactful Business Analyst role at Prudent Technologies and Consulting, offering a hybrid work model for flexibility. You'll thrive by utilizing your SQL, Power BI, and Agile proficiencies to drive key data initiatives within a reputable firm, so don't miss this opportunity to apply.
Quick Overview
Job Description
Role: Business Analyst (More Data focused) Mortgage experience needed
Location: Denver, Colorado (Hybrid (3- Days a week Onsite))
Duration: 12+ Months
Experience: 12 years
Job Description
Skills - Business Analysis, SQL, Agile, Data Integration, Data Mapping, Power BI, Data Governance, Data Warehousing Concepts, Data Lakehouse, Stakeholder Management
Key Responsibilities
Job Description
The Business Analyst for our client will play a key role in delivering capabilities within the Enterprise Data Platform and Core Data Services.
This role partners with business and technology stakeholders to define and refine requirements for reporting and analytics, source system changes, and new data integrations—ensuring data is trustworthy, well-governed, and usable across the enterprise.
Working as part of an Agile delivery team, the analyst will translate needs into clear user stories and acceptance criteria, help maintain and prioritize the backlog in alignment with value stream priorities, and proactively manage dependencies and release scheduling to enable predictable delivery.
Experience in the residential or commercial mortgage industry is an added advantage, enabling deeper understanding of the Customer's domain, data, and business processes.
Required Experience, Skills, & Competencies
• 5+ years of experience as a Business Analyst, Product Analyst, or similar role delivering data/analytics, integration, or platform capabilities.
• Experience gathering requirements for enterprise reporting/analytics and translating them into user stories with clear acceptance criteria.
• Demonstrated experience with data integration concepts including source-to-target mapping, transformations, data quality checks, and reconciliation/controls.
• Working knowledge of data warehouse/lakehouse concepts, dimensional modeling, and/or semantic/metrics layers; familiarity with data product thinking is a plus.
• Strong SQL skills for data exploration and validation; experience with Power BI (or similar BI tool) for understanding report requirements and testing outputs.
• Experience working in Agile/Scrum environments, including backlog refinement, prioritization, dependency management, and release planning.
• Excellent stakeholder management skills; ability to communicate complex data topics clearly to both technical and non-technical audiences.
• Understanding of data governance, privacy/security, and quality practices (definitions, lineage, stewardship, access controls).
• Experience eliciting and documenting data governance and security requirements, including role-based access, data classification, privacy controls, and audit/reconciliation expectations.
• Education: Bachelor’s degree in business, Information Systems, Data Analytics, or a related field (or equivalent practical experience).
• Preferred: Experience with Microsoft Fabric/Azure data services, ETL/ELT tools, API-based integrations, and/or data catalog/metadata tools.
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