Reporting Data Scientist
$140,000–$210,000 year
On-site · Sacramento, California, United States
Job Summary
Senior Reporting Data Scientist for enterprise-level analytics within a Project Controls organization focused on large infrastructure programs. Responsibilities include building and maintaining enterprise data models and analytics frameworks, developing predictive models for cost/schedule/risk, designing Power BI dashboards and automated reporting solutions for executive leadership, analyzing large datasets to identify trends and opportunities, collaborating with controls, scheduling, cost management, risk management, finance, and program management to produce unified analytical outputs, supporting monthly/quarterly/board-level reporting, automating manual reporting processes, establishing data governance and data quality procedures, and presenting findings to executives. The role supports PMIS, reporting, analytics, and BI improvements across major capital infrastructure initiatives, with an emphasis on data storytelling, governance, and cross-functional collaboration.
Required Qualifications
- Master’s degree in data science, computer science, statistics, engineering, business analytics, or related field
- 8+ years of experience performing data analytics, business intelligence, reporting, predictive modeling, or data science functions in large infrastructure construction programs
- Strong knowledge of project controls, management reporting, business intelligence, data management, and performance measurement methodologies as they relate to heavy civil infrastructure programs
- Demonstrated experience developing executive-level reporting, dashboards, analytics, and data visualization solutions
- Experience implementing data strategies, analytics workflows, reporting processes, and data governance practices
- Experience integrating data from multiple systems and sources to create unified reporting and analytical outputs
- Experience developing predictive models, forecasting tools, statistical analyses, and performance metrics
- Strong proficiency with Python, R, SQL, or similar programming and analytics tools
- Proficiency with Power BI and other dashboarding, visualization, and business intelligence platforms
- Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.)
Desired Qualifications
- PMP
- Microsoft Power BI Data Analyst
- Google Data Analytics
- MBA
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