*We are unable to provide relocation assistance or sponsorship at this time*

Key Responsibilities:

• Data Collection & Management:

  • Gather and organize large sets of data from various sources including project management software, financial systems, and on-site reports.
  • Ensure data integrity, accuracy, and consistency across systems.
  • Monitor and clean data to remove inaccuracies and ensure it is up to date.

• Data Analysis & Reporting:

  • Analyze project performance data, including timelines, costs, resource utilization, and quality metrics.
  • Generate reports and dashboards to track key performance indicators (KPIs) such as project progress, budget adherence, and workforce productivity.
  • Provide actionable insights to project managers, senior leaders, and other stakeholders for data-driven decision making.

• Forecasting & Predictive Analysis:

  • Assist in forecasting project costs, timelines, and resource needs based on historical data.
  • Develop predictive models to identify potential risks, delays, or cost overruns.
  • Recommend strategies to mitigate risks and improve project outcomes based on data trends.

• Collaboration & Support:

  • Work closely with project managers, finance teams, and senior leadership to support data-driven decision making.
  • Provide training and support for team members on data tools and best practices.
  • Help translate complex data into easy-to-understand reports and presentations.

• Process Improvement:

  • Identify opportunities to improve data collection, reporting, and analysis processes.
  • Develop and implement strategies to streamline workflows and improve operational efficiency using data-driven insights.

Required Qualifications:

• Education: Bachelor’s degree in Data Science, Operations Management Systems, Economics, Construction Management, or a related field. 
• Experience:
  • Minimum 3 years of experience in data analysis,  in the construction industry.
  • Strong understanding of construction project management processes, including budgeting, scheduling, union payroll and resource allocation.
• Technical Skills:
  • Proficiency in data analysis tools such as Microsoft Excel, Power BI, Tableau, or other data visualization platforms.
  • Experience with project management software (e.g., Procore, Buildertrend, Buildops or similar).
  • Familiarity with database management systems (SQL, Access, etc.) and data extraction techniques.
  • Knowledge of statistical analysis and predictive modeling tools (e.g., R, Python) is a plus.
• Communication Skills:
  • Strong written and verbal communication skills, with the ability to present complex data in an understandable manner to stakeholders at all levels.
  • Experience working collaboratively with cross-functional teams.