Senior Data Analyst

Guild Mortgage

. Partner with business unit leaders and Product, Data & Technology teams to assess data and analytics needs .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $109,114 - $156,510 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, data governance, and technical documentation, with a strong focus on data quality and integration. Proficient in utilizing ETL tools and SQL for effective data management and reporting.

Highest-signal resume keywords

Data AnalysisETL ToolsSQL Relational DatabasesData GovernanceTechnical Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CurationData Validation RulesLogical Data DictionaryData TransformationData Quality AssessmentKPI DefinitionRoot Cause AnalysisData IntegrationData ProcessingData Visualization

Soft Skills

Analytical SkillsCritical ThinkingOrganizational SkillsCommunication SkillsLeadership Skills

Tools & Technologies

Microsoft Office SuiteGoogle G-SuiteJiraConfluenceMicrosoft SharePoint

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Business Administration (Preferred)

Industry Keywords

Data AnalystData GovernanceSDLCITSMBusiness Continuity PlanDisaster RecoveryData QualityData SourcesData MetricsStakeholder Engagement

Tech Stack

Tools & technologies

CloudETLITSMNoSQLSDLCSQL

About the role

Key responsibilities & impact

Partner with business unit leaders and Product, Data & Technology teams to assess data and analytics needs
Elicit data requirements and research internal systems of record and publicly available data sources
Requisition and obtain private data sources to support business needs
Identify translation and transformation requirements for sourced data
Improve sourced data quality through data curation, validation rules, and maintenance of Master Data tables
Maintain the Logical Data Dictionary with data lineage, stewardship, custodianship, and versioning information
Reconcile and validate dashboards and reports
Document functional and non-functional requirements for data collection, loading, transformation, curation, processing, visualization, and insight distribution
Identify process improvements, automation opportunities, scalable infrastructure redesigns, and optimized data delivery
Provide actionable insights on customer acquisition, operational efficiency, and business performance metrics
Identify PII and define masking, data-processing, and access-control rules
Document Business Continuity Plan/Disaster Recovery and high-availability and recoverability requirements
Assess data-source accuracy and data-gathering effectiveness
Define KPIs and document processes for monitoring data warehouse performance and accuracy
Mentor less experienced data professionals and share reusable artifacts and domain knowledge
Participate in stakeholder reviews and design sessions
Provide data, reports, and information to management
Monitor trends and technology-related errors and develop cross-functional solutions
Resolve high-level issues and contribute to technology direction decisions
Monitor platform usage, database sizes, compute resources, and third-party costs
Champion data transformation and maintain stakeholder partnerships
Perform other duties as assigned

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Data Science or related quantitative field is required
Master's Degree in business administration (MBA) or related to the position or equivalent, preferred
Minimum 5 years' experience in Data Analyst related role(s), including two years in a senior technical level role(s)
Highly proficient with eliciting business requirements, documenting user stories, analyzing data sources, and assessing data quality
Highly proficient in data analysis, technical documentation, logical data dictionary, data validation rules, acceptance criteria, SDLC such as Scrum, and ITSM – ITILv4
Experience identifying data integration needs using ETL tools and modern data pipes
Proven experience querying and analyzing SQL relational databases and NoSQL databases
Experience collecting structured, semi-structured, and unstructured data in various formats from internal systems and third-party providers
Experience using Microsoft Office or Google G-Suite, Jira, Confluence, and Microsoft SharePoint
Experience performing root cause analysis on internal and external data and processes
Strong analytical, data governance, critical-thinking, organizational, communication, leadership, interpersonal, and team-building skills
Ability to prioritize multiple tasks in a deadline-driven environment
Ability to learn and adapt to new technologies and techniques
Proficiency in Microsoft Office Suite, Word, Excel, Wiki, collaborative cloud-based programs, and third-party software applications
Commitment to company values
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

Comp & perks

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