Data Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $82.5k - $118.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Guild Mortgage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1960

🏗️ Construction

💸 Finance

🏠 Real Estate

Construction • Finance • Real Estate

Guild Mortgage is a U. S. -based mortgage lender and loan servicer that provides a wide range of home financing products and services to consumers and business partners. The company offers purchase and refinance mortgages, including conventional, FHA, VA, USDA, jumbo, renovation, construction, reverse mortgages, HELOCs, and specialty programs and down-payment assistance. Guild Mortgage operates nationwide through local branches and loan officers, supports borrowers with servicing and online account management, and partners with builders, real estate agents, title agents, and correspondents.

📋 Description

• Support the company’s Information Technology and Data & Analytics functions • Execute data analysis and reporting activities within the enterprise data platform • 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 • Support onboarding of third-party and private datasets • Assist in identifying data transformation and integration requirements for enterprise data warehouse loading • Perform data validation and quality checks for dashboards, reports, and analytical outputs • Maintain the Logical Data Dictionary (LDD), including field definitions, data lineage, and source system details • Document functional and non-functional data requirements • Generate reports and deliver insights on customer behavior, operational performance, and key business metrics • Support KPI definition, tracking, and monitoring • Identify data trends, anomalies, and data quality issues; assist with root cause analysis and resolution • Improve data quality through data curation, validation rules, and master data management support • Identify opportunities to automate manual reporting processes and improve data delivery workflows • Support identification and documentation of PII and follow data governance and access control policies • Contribute to data availability, recovery requirements, and business continuity documentation • Participate in team meetings, stakeholder reviews, and solution design sessions • Prepare and deliver data, reports, and analysis to management and business partners • Follow established data governance standards and best practices • Perform other duties as assigned

🎯 Requirements

• BS in Statistics, Computer Science, Data Science, Information Systems, Mathematics, or a related quantitative field required • A combination of education and experience may be considered in lieu of the Bachelor’s degree • Minimum three years experience in Data Analyst or related role(s) • Experience supporting data analysis, reporting, and business intelligence functions • Experience gathering requirements, querying and analyzing data, validating data quality, and delivering insights to stakeholders • Working knowledge of data profiling, validation techniques, and basic statistical analysis • Proficiency in gathering and documenting business requirements • Experience querying and analyzing data using SQL across relational databases such as SQL Server, Snowflake, Postgres, and MySQL • Familiarity with data integration concepts, including ETL processes and modern data pipelines • Experience working with structured and semi-structured data from internal systems and third-party data providers • Understanding of data governance principles, data quality, data lineage, and handling sensitive data such as PII • Ability to perform data validation, reconciliation, and basic root cause analysis • Experience with BI and visualization tools such as Power BI or Tableau • Familiarity with Agile/Scrum SDLC methodologies and basic IT service management concepts • Proficiency with Microsoft Office Suite, Excel, Word, PowerPoint, Wiki, collaborative cloud-based programs, Jira, Confluence, SharePoint, and third-party software applications • Strong analytical, problem-solving, interpersonal, customer service, written, and verbal communication skills • Ability to manage multiple priorities and meet deadlines • Ability to collaborate across cross-functional teams • Eagerness to learn new tools, technologies, and business domains • Commitment to company values • Ability to operate standard office equipment and keyboards • Ability to adhere to process protocols and apply established protocols in a timely manner • Ability to work Monday–Friday during the business week • Travel: 5% or less

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • AD&D insurance • LTD insurance • 401(k) with employer match • Competitive compensation • Pleasant work environment • Remote work arrangement