Data Analyst - Scheduling/Estimating

Kiewit Corporation - Lenexa, KS

Full-time - Mid Level

Lenexa, KS

1,001-5,000 employees

Construction of Buildings

About the position

The Data Analyst position at Kiewit Corporation focuses on leveraging data to solve business problems related to estimating for engineering and construction projects. The role involves analyzing current and historical project data to develop analytical solutions that address challenges in project estimation. The analyst will collaborate with various stakeholders to improve company standards and establish benchmarks for successful project execution.

Responsibilities

• Collaborate with project managers, engineers, and other stakeholders to plan and schedule engineering and construction projects.
• Develop and maintain resource-loaded schedules, including activities, milestones, and critical project deliverables.
• Assess design changes and schedule impacts, updating management and clients accordingly.
• Utilize engineering, procurement, and construction knowledge to create and maintain critical path logic networks.
• Prepare progress reports, track schedule variations, and coordinate schedule revisions as needed.
• Analyze and compare project data across different markets using tools like P6, InEight, and Power BI.
• Develop data models and visualizations to support business decisions and create sustainable dashboard solutions.
• Maintain documentation of schedule submittals and manage contract requirements for schedule adherence.

Requirements

• 4+ years in construction/engineering scheduling with resource-loaded schedules, WBS structure, and critical deliverables tracking.
• Experience in data analysis, data mining, and statistical analysis, preferably in construction or engineering.
• Bachelor's degree in a related field preferred; technical training or related experience considered.
• Experience with Datacenters or advanced technologies preferred.
• Knowledge of construction engineering technology, codes, standards, and cost control methods.
• Proficiency in Primavera (P6) and relevant software.
• Strong critical thinking, business acumen, and communication skills.
• Estimating experience highly desired.
• Ability to work independently and collaboratively.
• Proficiency in SQL and data visualization using Power BI.
• Experience with Python or R in a professional setting.
• Knowledge of data lineage and ETL processes.

Nice-to-haves

• Experience with Datacenters or advanced technologies preferred.

Benefits

• Health insurance
• Dental insurance
• Paid time off
• Employee assistance program
• Vision insurance
• Life insurance
• Retirement plan