Data Analyst, Phoenix, AZ - Data Center
wwprosolutions
| Company | wwprosolutions |
| Category | Data & Analytics |
| Location | Phoenix Metro Area |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 8 Jul 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer ATS (lever) |
Description
WORLD WIDE PROFESSIONAL SOLUTIONS is a project solutions organization committed to implementing lean constructions, collaborative contracting, and execution approaches to enable breakthroughs in performance.
WWPS is seeking candidates local to the Phoenix area for Data Analyst openings supporting a national Advanced Work Packaging program for a confidential hyperscale construction client. These roles will support the rollout and expansion of AWP processes across multiple large scale campus projects throughout the United States.
These positions are remote with regular travel to active project sites. Candidates based in Phoenix are strongly preferred. We expect to hire multiple Data Analysts for this program, with 3-6 openings anticipated. The first candidate start date is expected in late August 2026.
The successful candidate will bring strong analytical, organizational, communication, and technical skills, along with the ability to work effectively in a fast-paced construction program environment. This person should be comfortable supporting data structure, reporting workflows, dashboards, and integrated project information across planning, scheduling, work packaging, resources, procurement, and construction execution.
The right candidate will help the AWP and project delivery teams organize information, improve data collection processes, track program adoption, and develop reporting tools that support better decision making across multiple project sites. Experience with large data sets, Excel, Access, PowerPoint, Power BI, and construction project reporting is highly preferred. Prior experience supporting data center, mission critical, industrial, advanced manufacturing, or large commercial construction projects is a strong plus.
Primary Responsibilities
Develop reporting tools, dashboards, and analytical models to track AWP program data, construction progress, resource planning, procurement status, schedule alignment, and work package readiness
Support the rollout of Advanced Work Packaging processes across multiple active project campuses
Collect, organize, validate, and analyze project data from internal and external stakeholders
Integrate data from planning, schedule, procurement, resource, construction, and project controls systems to support program analytics
Develop indicators that show current project status, forecasted performance, trends, adoption progress, and potential areas of risk
Support AWP leadership, project controls teams, and construction leadership with reporting that improves visibility into program performance
Build tools that allow users to extract, analyze, and report project information more efficiently
Support business processes used to collect required data from multiple project teams and site stakeholders
Create visuals, dashboards, and presentation materials for leadership, project teams, and client facing reporting
Assist with data cleanup, reporting standardization, documentation, and administrative data management tasks
Help identify gaps in reporting workflows and recommend practical improvements
Requirements
1-5 years of direct Data Analytics professional experience preferred
Strong written and verbal communication skills
Strong analytical, planning, and problem-solving skills
Proficiency with Microsoft Office, especially Excel, Access, PowerPoint, and Power BI
Advanced Excel skills preferred, including formulas, data transfer, visuals, pivot tables, and VBA
Experience working with large data sets and structuring data for reporting and analysis
Ability to organize information from multiple sources and turn it into clear, useful reporting
Ability to learn quickly and work under pressure in a fast-paced construction environment
Strong attention to detail and commitment to data accuracy
Excellent organizational and time management skills
Ability to handle confidential project documents and information with professionalism
Self-starter who identifies issues, creates solutions, and acts on fac