Senior Data Analyst - Asset Management

AECOM•Denver, CO

1d•$90,000 - $120,000•Hybrid

About The Position

AECOM is actively seeking a Senior Data Analyst - Asset Management to join the U.S. West Digital Consulting team. This position will support the management, analysis, quality control, visualization, and delivery of data for large facility condition assessment, asset management, and capital planning programs. The Senior Data Analyst will work closely with project managers, technical staff, field assessment teams, and technology specialists to transform large and complex datasets into reliable, structured, and actionable information. The position will support the full lifecycle of project data, from establishing data structures and project requirements through data collection, quality assurance, analysis, reporting, visualization, and final client delivery. A key focus of this role will be improving the efficiency, consistency, and reliability of our data processes. The successful candidate will be comfortable working with large datasets, identifying data-quality issues, developing repeatable and automated processes, and translating technical data into information that can be readily understood and used by project teams and clients.

Requirements

Experience managing, analyzing, and quality-controlling large and complex datasets.
Experience using SQL to query, manipulate, and analyze relational data.
Experience developing data visualizations and dashboards using Power BI or a comparable business intelligence platform.
Advanced proficiency with Microsoft Excel.
Experience developing repeatable processes for data cleaning, transformation, validation, and reporting.
Strong analytical, problem-solving, written, and verbal communication skills.
Bachelor's degree in Computer Science, Data Science, Information Systems, Information Technology, Engineering, Mathematics, Statistics, or a closely related field plus 4 years of relevant professional experience, or demonstrated equivalency of experience and/or education.
Ability to pass drug and background checks to work on Federal grounds, military installations, and school grounds.
U.S. citizenship due to federal contract/security requirement.

Nice To Haves

Proficiency with Python for data analysis, automation, transformation, and quality-control processes.
Advanced experience with SQL, relational databases, database design, and data modeling.
Advanced experience developing Power BI dashboards, data models, relationships, calculations, and interactive reporting.
Experience with ETL processes and combining information from databases, spreadsheets, APIs, or other structured data sources.
Experience developing automated data-quality checks, validation rules, and exception reporting.
Experience with facility, asset management, infrastructure, engineering, construction, or capital planning data.
Familiarity with facility condition assessments, asset inventories, lifecycle planning, cost data, or capital improvement programs.
Experience integrating data with enterprise asset management, CMMS, or facilities management systems.
Experience translating business requirements into data structures, analytical processes, dashboards, and technical solutions.
Ability to communicate technical data concepts to nontechnical staff and clients.
Experience documenting technical workflows, data dictionaries, and business rules.
Advanced proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word.
Self-starter with the ability to independently identify problems, develop solutions, and take ownership of assigned work.
Strong collaboration skills and ability to work effectively with multidisciplinary technical and project teams.
Ability to pass criminal, drug, and background checks to work on Federal grounds, military installations, and school grounds.

Responsibilities

Manage, organize, analyze, and validate large datasets associated with facilities, building systems, assets, deficiencies, costs, lifecycle information, and capital improvement needs.
Develop and maintain data structures, data models, relationships, naming conventions, and standardized data requirements for asset management projects.
Perform data cleaning, transformation, reconciliation, and quality control to identify missing, duplicate, inconsistent, or anomalous information.
Develop automated and repeatable processes for data validation, analysis, transformation, and reporting.
Use SQL and other analytical tools to query, manipulate, combine, and analyze data from multiple sources.
Develop scripts and tools, including Python-based solutions, to improve data-processing efficiency and reduce repetitive manual tasks.
Develop and maintain Power BI dashboards and visualizations that communicate facility condition, asset performance, capital needs, costs, priorities, and program progress.
Support the configuration, testing, and deployment of digital data collection tools used by assessment teams.
Establish project-specific data requirements, validation rules, and QA/QC procedures and perform ongoing data QA/QC throughout project delivery.
Support the integration, import, export, and migration of project data between AECOM tools and client asset management, computerized maintenance management, and facilities management systems.
Analyze client-provided datasets and determine how existing information can be incorporated into assessment and capital planning programs.
Prepare data tables, summaries, graphics, dashboards, and other deliverables for technical reports and client presentations.
Translate complex technical and analytical findings into clear information for project teams and clients.
Document data workflows, methodologies, calculations, business rules, and quality-control procedures to support repeatable and defensible project delivery.
Collaborate with project managers, facility assessors, engineers, architects, planners, and technology staff to develop appropriate data solutions.
Support continuous improvement of the team's data management, reporting, automation, and technology processes.
Assist with proposals and business development activities related to data analytics, technology, and asset management.