Senior Mortgage Data Analyst: Analytics, Governance & SQL

Prudent Technologies and Consulting, Inc.; Denver (CO); On-site; USD 85,000 - 120,000; Full time

Job summary

Prudent Technologies and Consulting, Inc. is seeking a data-focused Business Analyst to join our Enterprise Data Platform team in Denver.

You will translate business needs into clear user stories, define analytics requirements, and help ensure data is trustworthy, governed, and ready for self-service reporting. In an Agile setting, you will collaborate with Product Owners, Data Engineers, and Analysts to shape data integrations, data dictionaries, mappings, and KPI definitions, while supporting

Qualifications

• 5+ years of experience delivering data/analytics, integration, or platform capabilities.
• Strong SQL skills for data exploration and validation.
• Experience gathering requirements for enterprise reporting and analytics.
• Familiar with data governance, privacy and security concepts.

Responsibilities

• Elicit, analyze, and document requirements for enterprise reporting and analytics, including KPI definitions and data security needs.
• Translate needs into user stories and acceptance criteria for agile delivery.
• Partner with Product Owners, Data Engineers, and Architects to shape Core Data Services.
• Gather requirements for source system changes and data integrations, including mappings and transformations.
• Maintain artifacts such as data dictionaries, mapping specs, and test scenarios.
• Coordinate backlog priorities and release planning across value streams; manage dependencies.

Skills

Business Analysis

SQL

Agile

Data Integration

Data Mapping

Power BI

Data Governance

Data Warehousing Concepts

Data Lakehouse

Stakeholder Management

Education

Bachelor’s degree in Business, Information Systems, Data Analytics

Job description

Prudent Technologies and Consulting, Inc. is seeking a data-focused Business Analyst to join our Enterprise Data Platform team in Denver.

You will translate business needs into clear user stories, define analytics requirements, and help ensure data is trustworthy, governed, and ready for self-service reporting. In an Agile setting, you will collaborate with Product Owners, Data Engineers, and Analysts to shape data integrations, data dictionaries, mappings, and KPI definitions, while supporting