Sustainability & Resiliency Data Analyst II

The Sustainability & Resiliency Data Analyst II will support multidisciplinary S&R technical teams through data management, integration, analysis, visualization, and project delivery. Based within the Resources Business Group, this position will work across HDR business groups and market sectors to help teams organize complex information and produce reliable, decision-ready data products.

A primary focus of the role is helping technical teams transform data from multiple sources into clear, accurate, and actionable information. The Analyst will support data collection, ingestion, validation, documentation, integration, analysis, dashboards, and visual communication while improving data quality standards and procedures.

The position will also evaluate and apply analytical, automation, and emerging digital tools to improve data workflows, strengthen consistency, and help project teams understand and communicate complex information more effectively.

Key Responsibilities - In the role of Sustainability & Resiliency Data Analyst II, we'll count on you to\:

Data Management, Integration & Visualization

• Collect, organize, clean, and maintain data from multiple internal and external sources.

• Import, transform, and integrate structured and unstructured data for use by technical teams.

• Develop dashboards, maps, graphics, and other visual tools that translate complex data into clear, usable information.

• Support data validation, metadata, lineage, version control, and documentation to improve reliability and traceability.

Technical Team & Project Delivery Support

• Support multidisciplinary technical projects across HDR business groups and market sectors.

• Work with subject matter experts to define data requirements, resolve data gaps, and connect information across disciplines and systems.

• Prepare technical memoranda, reports, presentations, client materials, and data-driven visual deliverables.

• Help technical teams interpret data, identify trends and anomalies, and communicate findings and recommendations clearly.

Data Quality, Standards & Emerging Tools

• 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 that can strengthen project delivery.

• Explore appropriate uses of AI, automation, and emerging digital tools for research, data processing, analysis, and visualization.

• Develop reusable templates, dashboards, data dictionaries, and guidance, and share lessons learned with project teams.

Cross-Business-Group Support -

• The Analyst will collaborate with professionals across business groups, geographies, and technical disciplines to strengthen data practices and support consistent, high-quality project delivery.

• The position will connect data, digital capabilities, and technical expertise across HDR. The Analyst is not expected to be a subject matter expert in every discipline but should be curious, adaptable, and skilled at learning new datasets, systems, terminology, and workflows.

Capabilities & Skills - The following capabilities will be used and further developed in this position\:

• Data 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