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Mid-level data analyst in metro with common skillset and broad requirements increases applicant competition.
Strong construction project controls domain knowledge and tools required makes background fit highly industry-specific.
Explicit 5–8 years, construction domain experience, and mandatory BI/SQL/Python skills create strict shortlisting.
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Analyze and report on large, complex construction project datasets including Cost, Schedule, Risk, Quality, and Safety to identify trends and actionable insights.
Develop, optimize, and maintain dashboards, reports (Power BI, Paginated Reports, Excel), and data models to support project decision-making and forecast cost overruns, schedule delays, and risks.
Collaborate with project teams and stakeholders to understand requirements, perform data validation, communicate findings, and contribute to continuous improvement of analytics and reporting standards.
5–8 years of experience combining data analysis with construction or infrastructure domain expertise, preferably including project controls or construction management roles.
Bachelor's or Master's degree in Engineering, Construction Management, Business Analytics, or related field.
Proficiency with Power BI, Power Platform, SQL (SQL Server or Snowflake), and statistical tools such as Python or R for predictive modeling and analysis.
Experience with construction project controls domains: Cost Management, Schedule Management (e.g., Primavera P6), Quality, and Safety analytics.
Experienced in applying data analytics specifically to construction project controls functions, including cost forecasting, schedule risk assessment, quality inspections, and safety incident analysis.
Comfortable working with international clients, especially US-based, and in collaboration with cross-functional technical and non-technical stakeholders.
Skilled in building and maintaining integrated data models and dashboards, with ability to drive continuous process improvements in a fast-paced engineering and construction environment.