Sustainability & Resiliency Data Analyst II

HDR•Washington, DC

About The Position

The Sustainability & Resiliency Data Analyst II supports multidisciplinary sustainability and resiliency technical teams through data management, integration, analysis, visualization, and project delivery. Based within the Resources Business Group, the role works across HDR business groups and market sectors to help teams organize complex information and produce reliable, decision-ready data products. A primary focus is transforming data from multiple sources into clear, accurate, and actionable information. The Analyst supports data collection, ingestion, validation, documentation, integration, analysis, dashboards, and visual communication, while helping improve data quality standards and procedures. The role also evaluates and applies analytical, automation, and emerging digital tools to improve data workflows, strengthen consistency, and help project teams understand and communicate complex information. The Analyst collaborates with professionals across business groups, geographies, and technical disciplines to strengthen data practices and support consistent, high-quality project delivery. The role connects 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.

Requirements

Bachelor's degree in a related field.
A minimum of 3 years of related work experience.
Self-starter.
Proficiency in Microsoft Office, especially Word, PowerPoint, and Excel.
An attitude and commitment to being an active participant in HDR's employee-owned culture.

Nice To Haves

Master's degree in a related field.

Responsibilities

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.
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.
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.
Collaborate across business groups, geographies, and technical disciplines to strengthen data practices and support consistent, high-quality project delivery.