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# Data Analyst

- **Company:** DEEP GREEN CONSTRUCTION, INC.
- **Location:** Fredericksburg, VA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $62,400 - $79,040
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Decision Support Systems, Project Management Software, Microsoft Project, Power BI, SQL Databases, Tableau (Software), Data Analytics
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analyst-fredericksburg-va--faef8869-f8c8-417b-bfe3-7248c348d640

## About the Role

Data Analysis, Green Construction, Data Analysis, Performance Management, Cost Control, Decision Support, Construction Projects, Budgeting, Project Evaluation, Reporting Dashboards, * Bachelor's degree in data Analytics, Statistics, Construction Management, Business, or related field.

 * 2+ years of experience as a Data Analyst (construction industry preferred).
 * Strong skills in Excel, SQL, and at least one BI/visualization tool (Power BI, Tableau).
 * Familiarity with project management or construction software (Procore, MS Project) is a plus.
 * Excellent problem-solving, communication, and collaboration skills.
 * Ability to work independently in a remote environment.

## Description

Deep Green Construction is a leader in sustainable and high-quality building solutions. We specialize in residential and commercial projects that balance innovation, efficiency, and environmental responsibility. We are seeking a Data Analyst to join our growing team and provide data-driven insights that will improve project performance, reduce costs, and support strategic decision-making.
Key Responsibilities

 * Collect, clean, and analyze construction project data (budgets, schedules, safety reports, labor productivity).
 * Develop dashboards and visual reports using tools such as Power BI, Tableau, or Excel.
 * Track project KPIs (cost variance, schedule variance, resource utilization) and provide actionable insights.
 * Work closely with project managers, finance, and operations teams to identify trends and improve efficiency.
 * Support forecasting, bid analysis, and cost modeling for upcoming projects.
 * Ensure data accuracy, integrity, and compliance with company standards.