Guild Mortgage Company, closing loans and opening doors since 1960. As a mortgage banking firm we are dedicated to serving the home owner/buyer. Our goal is to provide affordable home financing for our customers, utilizing the best terms available while providing a level of professionalism and service unsurpassed in the lending industry.
Position Summary
The Data Analyst plays an important role in the organization by supporting activities related to the company’s Information Technology and Data & Analytics functions. This role is primarily responsible, under general supervision, for executing data analysis and reporting activities within the company’s enterprise data platform. The Data Analyst partners with business stakeholders to gather and document data requirements, support the definition and tracking of Key Performance Indicators (KPIs), and perform data validation to ensure accuracy and consistency of reporting outputs. The position contributes to the delivery of actionable insights by analyzing data, researching internal and external data sources, and supporting data quality and governance initiatives. Responsibilities include assisting stakeholders with reporting needs, maintaining data documentation such as the Logical Data Dictionary (LDD), and collaborating with cross-functional teams to ensure reliable, high-quality data is available for business decision-making.
This role is an exempt position with a targeted salary range of $82,506.00 to $118,355.94 annually.
Compensation at Guild is influenced by a wide array of factors including but not limited to local and federal minimum wage requirements, education, level of experience, and applicant’s geographical location.
Essential Functions
- Collaborate with business stakeholders, Product, and Data & Technology teams to gather, document, and clarify data and reporting requirements.
- Research internal systems of record and external data sources to support analytical and reporting needs; assist in evaluating data availability and quality.
- Support onboarding of new data sources, including third-party and private datasets, to enhance business insights.
- Assist in identifying data transformation and integration requirements for loading data into the enterprise data warehouse.
- Perform data validation and quality checks to ensure accuracy, consistency, and reliability of dashboards, reports, and analytical outputs prior to delivery.
- Maintain and update data documentation, including the Logical Data Dictionary (LDD), with field definitions, data lineage, and source system details.