Data Analyst, Enterprise Data Governance

Intel Corporation

Data Analyst advancing Intel's enterprise data governance through metrics, standards, dashboards, and execution. Bridging business, technical, architecture, platform, and stewardship teams across US sites.

Posted 9/3/2026full-timePhoenix • Arizona, California, Oregon • 🇺🇸 United StatesMid-LevelSenior💰 $116,010 - $163,780 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data governance, data quality, and business analysis, with a strong ability to analyze complex datasets and translate insights into actionable business recommendations. Proficient in developing governance metrics, KPI frameworks, and executive-level reporting to drive operational improvements and stakeholder engagement.

Highest-signal resume keywords

Data GovernanceData QualityKPI Framework DevelopmentJIRA Work ManagementData Analysis Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisKPI MeasurementFit-Gap AnalysisRisk AssessmentBusiness Process DocumentationData VisualizationDashboard DevelopmentSQLPythonExcel

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving SkillsOrganizational SkillsFollow-Through Skills

Tools & Technologies

JIRAPower BICollibraInformaticaConfluenceSAPLRPAtlas

Industry Keywords

Data StewardshipMetadata ManagementData LineageGovernance Operating ModelsBusiness Intelligence

Tech Stack

Tools & technologies

InformaticaPythonSQL

About the role

Key responsibilities & impact

Support execution and adoption of enterprise-approved data governance standards, guidelines, controls, procedures, and decision frameworks
Support Governance Operations, Platform, and JIRA activities, including work tracking, backlog visibility, status reporting, dependency tracking, capacity views, templates, and operating rhythm support
Develop, maintain, and continuously improve data governance metrics, KPI frameworks, dashboards, scorecards, and maturity measures
Track governance progress during IAO and ongoing enterprise transformation, including adoption of standards, data quality outcomes, stewardship engagement, metadata maturity, issue remediation, and governance value realization
Provide executive-ready reporting and insights showing governance progress, risks, trends, gaps, and recommended actions
Analyze complex datasets to identify trends, risks, gaps, and opportunities driving business insights and operational improvements
Gather business and technical requirements and translate them into actionable data specifications, governance requirements, and execution plans
Perform fit-gap analyses, readiness assessments, and risk assessments of data systems, processes, and domains
Serve as the day-to-day bridge between EDGT, domains, architecture, tooling, stewardship, and execution teams
Partner with domain, architecture, platform, and business teams to translate governance decisions into sustained practices and measurable outcomes
Support EDGT operations, JIRA/work tracking, tooling roadmap coordination, capacity visibility, operating rhythm support, templates, documentation, and process orchestration
Define, maintain, and improve governance KPIs, scorecards, maturity indicators, adoption measures, and value-realization metrics

Requirements

What you’ll need

Bachelor's degree in a related field such as data science, information systems, supply chain, material science, industrial engineering, business analytics, or a related discipline
3+ years of relevant experience in data governance, data quality, data processes, business analysis, operations, and technology-enabled process improvement
Experience analyzing complex datasets and translating insights into business recommendations
Experience working across business and technical stakeholders to gather requirements, document processes, clarify ownership, and support execution
Experience developing reports, dashboards, scorecards, metrics, or KPI measurements
Experience with JIRA or similar work-management tools to track work items, owners, status, dependencies, risks, and outcomes
Demonstrated ability to perform fit-gap analysis, readiness assessment, risk identification, or implementation support for data, process, or system changes
Strong analytical, communication, problem-solving, organization, and follow-through skills
Proficiency in data analysis tools such as Excel, SQL, Power BI, and Python
Experience with business intelligence, reporting, dashboarding, data visualization, and executive-level performance reporting
Experience developing enterprise KPI frameworks, governance scorecards, maturity models, value-realization reporting, or adoption metrics
Familiarity with data governance, master data management, metadata management, data lineage, data quality, data stewardship, or governance operating models
Knowledge of Intel's Product Life Cycle, supply chain planning, manufacturing execution, product architecture, planning BOM, or dependent planning and execution processes
Familiarity with tools such as Collibra, Informatica, JIRA, Confluence, SAP, LRP, Atlas, or related governance, workflow, and enterprise data platforms
Ability to influence stakeholders, structure ambiguous work, drive execution, and communicate governance progress in a clear, measurable, business-focused way

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation
Hybrid work model allowing employees to split time between working on-site and off-site