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The Sustainability & Resiliency Data Analyst II supports multidisciplinary S&R technical teams by turning multi-source data into trustworthy, decision-ready information. The role combines data management, integration, analysis, visualization, and project delivery, with a focus on improving data quality and workflows using analytical and emerging digital tools. Location and Employment DetailsPrimary location: United States, Oregon, Portland (onsite) Other locations: United States, Washington; United States, Washington, Vancouver
Schedule: Full-time Employee status: Regular Job posting date: Nov 3, 2026 CompensationUSD 139,650 - 199,500 per year Expected compensation range: Vancouver, WA: $139,650 - $199,500
Role Responsibilities: Collect, organize, clean, and maintain data from multiple internal and external sources. Import, transform, and integrate structured and unstructured data for technical team use. Build dashboards, maps, graphics, and other visualization tools that make complex data clear and actionable. Support data validation, metadata, lineage, version control, and documentation to improve reliability and traceability. Support multidisciplinary technical projects across business groups and market sectors. Partner with subject matter experts to define data requirements, address data gaps, and connect information across disciplines and systems. Prepare technical memoranda, reports, presentations, client materials, and data-driven visual deliverables. Help teams interpret data, identify trends and anomalies, and communicate findings and recommendations. Develop, document, and improve data quality standards, procedures, checks, and reusable workflows. Perform data profiling and quality reviews to identify inconsistencies, duplication, missing information, and other issues. Evaluate new datasets, analytical methods, and visualization approaches to strengthen project delivery. Explore appropriate uses of AI, automation, and emerging digital tools for research, data processing, analysis, and visualization. Create reusable templates, dashboards, data dictionaries, and guidance, and share lessons learned with project teams. Collaborate across business groups, geographies, and technical disciplines to strengthen data practices and support consistent, high-quality delivery. Connect data, digital capabilities, and technical expertise across the organization. Required QualificationsBachelor’s degreein a related field Minimum 3 yearsof related work experience Self-starter Proficiency inMicrosoft Office, especiallyWord , PowerPoint, andExcel Commitment to being an active participant of an employee-owned culture Preferred QualificationsMaster’s degreein a related field TechnologiesMicrosoft Office Word, PowerPoint, Excel AI Skills and CapabilitiesData management and data strategy Data quality assessment, validation, and governance Data ingestion, transformation, and integration Data profiling, documentation, metadata, and lineage Dashboard development and data visualization Quantitative and qualitative analysis and interpretation AI-assisted research, automation, and analysis Technology and digital tool evaluation Technical writing, synthesis, and visual communication Multidisciplinary project collaboration BenefitsMedical, dental, and vision Short and long-term disability Life insurance Employee assistance program Paid time away Parental leave Paid holidays Retirement savings plan with employer match Employee referral bonus Tuition reimbursement Employee Network GroupsAsian Pacific Black Hispanic/Latino(a) LGBTQ+ People with Disabilities Veterans Women Young Professionals IndustryPower

Also on the board Same function, level within a rung

Level

Senior

Salary

$139,650 - $199,500 per year

Location

Portland, ME

Occupation

Data Scientists

Industry

Other Scientific and Technical Consulting Services

Posted

today

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