Senior Project Controls Analyst (Cost)

About the Position

We are seeking a Senior Project Controls Analyst (Cost) to support large-scale, heavy-civil infrastructure programs across highways, roads and bridges, transit (bus and rail), aviation (international airports), and/or water sectors. This role is responsible for building, structuring, and maintaining the underlying datasets that support cost, schedule, and program performance reporting across major capital projects. This is not a reporting-only role. The Senior Project Controls Analyst works directly with project controls data structures to resolve inconsistencies across systems and ensure alignment between cost, schedule, and financial data at all levels of the program.

This is a full-time, long-term, remote position focused on the Phoenix, AZ, region. Our preference is for Phoenix-based candidates but is not a requirement. The work arrangement can be remote; however, there will be some onsite and travel requirements.

Responsibilities may include, but are not limited to, the following:

• Design and maintain scalable datasets that support program-level project controls reporting across multiple projects and contracts.
• Define and enforce data hierarchies including work breakdown structures (WBS), cost breakdown structures (CBS), and coding frameworks across the program.
• Support identification and resolution of misalignment between WBS, CBS, schedule activities, and financial coding structures across project controls systems.
• Perform advanced data manipulation, transformation, and normalization across multiple systems to ensure alignment between cost, schedule, and financial data.
• Integrate and reconcile data from Primavera P6, cost management systems, ERP platforms, and other program tools.
• Identify and correct inconsistencies in data structures, coding, and hierarchy across project controls systems.
• Develop and maintain data models that support integrated reporting across cost, schedule, and performance metrics.
• Establish data standards and support governance practices for project controls data across the program.
• Validate data accuracy and support reconciliation efforts across multiple reporting systems.
• Collaborate with project controls managers, cost engineers, and schedulers to ensure data structures support program controls requirements.
• Support continuous improvement of data structures, reporting processes, and data quality across the program.

Attributes

• Strong written and verbal communication and collaboration skills.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets and identify meaningful insights.
• Ability to translate technical project data into clear reporting for program leadership and stakeholders.
• High attention to detail and commitment to data accuracy.
• Ability to manage multiple data sources and reporting deadlines within fast-paced program environments.

Minimum Qualifications

• Bachelor’s degree in engineering, construction management, business, data analytics, statistics, or related field, or equivalent combination of education and experience.  
• 10+ years of experience working with structured datasets in project, engineering, construction, or program environments.
• Experience supporting project controls, data, or reporting functions on large, complex infrastructure programs (e.g., highways, roads, bridges, transit (rail or bus), utilities, and/or aviation projects), typically involving multi-contract delivery and integrated reporting requirements.
• Experience performing advanced data manipulation, transformation, and structuring of large datasets (not limited to basic reporting or dashboarding).
• Experience working with hierarchical data structures such as work breakdown structures (WBS), cost breakdown structures (CBS), or similar multi-level coding frameworks.
• Experience integrating, reconciling, and normalizing data across multiple systems (e.g., scheduling, cost, and financial systems).
• Experience building, structuring, and maintaining datasets or data models used for reporting.
• Experience working with incomplete, inconsistent, or poorly structured datasets and improving data quality, hierarchy, and alignment across systems.
• Advanced proficiency in Microsoft Excel, inc