Duties and Responsibilities are:

-Collect, analyze, and interpret project, financial, and operational data from construction systems (ERP, project management, equipment, and safety).
-Develop and maintain dashboards and reports to monitor project performance, costs, schedules, productivity, and safety metrics.
-Track key construction KPIs and provide actionable insights to support project planning, forecasting, and decision-making.
-Extract, transform, and validate data obtained from various to build clean and consistent datasets for analysis.
-Develop and maintain standardized data models and metrics that promote a single source of truth across teams.
-Ensure data accuracy and consistency across projects and reporting tools.
-Automate reporting processes and support BI system implementation and optimization.
-Collaborate with Project Managers, Finance, and Operations to meet data and reporting needs.
-Monitor data quality and proactively identify inconsistencies or gaps in data integrity, working with technical teams to resolve issues.
-Automate recurring data requests and streamline manual reporting processes.
-Present insights clearly to management and assist teams in using dashboards effectively.
-Stay updated on BI tools and construction analytics best practices to improve reporting and analysis.

Qualifications/Experience/Competencies

-Completion of a bachelor’s degree in computer science/data science/information systems or related field
-3+ years of experience as a Business Intelligence Analyst, Data Analyst, or similar role within a data-driven environment.
-Experience with machine learning and analytics
-Strong proficiency in SQL for querying and manipulating large datasets.
-Hands-on experience with data visualization tools such as Power BI
-Experience with Google Sheets, including Google Apps Script for automation and integrations.
-Familiarity with ETL concepts and data transformation tools
-Comfortable working with APIs and cloud-based data platforms
-Good understanding of data modeling, data governance, and best practices for maintaining data quality and consistency
-Strong analytical and problem-solving skills with high attention to detail and data accuracy.
-Excellent communication skills; able to simplify complex data findings for non-technical audiences
-Proactive, curious, and comfortable working both independently and collaboratively in a team setting
-Organized, with the ability to manage multiple priorities and meet deadlines in a dynamic environment

Salary Range: $65,000 – $85,000 annually, depending on experience and qualificationsThe Data Analyst is responsible for transforming data into actionable insights that drive business decisions. This role involves gathering, analyzing, and interpreting large datasets; developing dashboards and reports; and collaborating with cross-functional teams to support strategic planning and operational efficiency.