Guild Mortgage Company, closing loans and opening doors since 1960. As a mortgage banking firm, we are dedicated to serving the homeowner/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 Senior Data Analyst is a key technical position and plays an important role in the organization by performing a number of activities related to the company’s Information Technology functions. The role is primarily responsible, under limited supervision, for executing the data strategy and analysis efforts within the company’s enterprise data platform by eliciting business requirements for data & analytics, identifying Key Performance Indicators (KPIs), documenting functional requirements for various business functions, validating data analysis and collaborating across the enterprise data team to deliver actionable insights to key stakeholders. Responsibilities include working with key stakeholders to assess their data and analytics needs, reviewing and updating logical data dictionary and other supporting documentation, assessing availability and quality of data and researching internal and external data sources.
Compensation
This role is an exempt position with a Targeted Salary Range of $106,000 to $152,000.
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
- Partner with key stakeholders, including the business unit leaders, Product, Data & Technology teams, to assess their data and analytics needs by eliciting data requirements, and researching internal systems of record and publicly available data sources and assessing their quality of data.
- Requisition and obtain private data sources to support business needs for data and insights.
- Identify translation or transformation requirements for sourced data into the data warehouse.
- Improve quality of sourced data by data curation and validation rules as well as maintaining the Master Data tables.
- Maintain the Logical Data Dictionary (LDD) with data lineage information (field definition, domain, source system, intermediary and destination system(s), translations, transformation rules, display screens, referenced reports, etc.), Data Stewards and Data Custodian info along with versioning for historic analysis and audit trail.
- Ensure consistent delivery of high-quality insights to key stakeholders by reconciling and validating dashboards and reports in a timely manner.
- Docu