Data Analyst

Data Analyst Fort Worth, TX (Onsite) Schedule: Monday-Friday | Standard Business Hours Duration: 12-Month Contract (Potential Extension) Our client is seeking a Data Analyst to join a growing team supporting construction operations and project planning. This is a newly created position due to increased workflow and offers the opportunity to work closely with operational teams to help prioritize projects using data-driven insights. This role is ideal for someone with a few years of professional experience who enjoys solving problems, working independently, and partnering with cross-functional teams in a fast-paced environment. Key Responsibilities • Analyze operational and project data to support business decisions and project prioritization. • Develop and maintain reports, dashboards, and data visualizations for internal stakeholders. • Extract, manipulate, and validate data using SQL and Excel. • Identify trends and provide actionable recommendations to improve planning and operational efficiency. • Collaborate with business partners to understand reporting requirements and translate them into meaningful insights. • Support ongoing reporting, ad hoc analysis, and continuous process improvement initiatives. • Ensure data accuracy and maintain reporting standards across multiple data sources. Required Qualifications • Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Mathematics, Engineering, or a related field. • 3-7 years of professional data analysis experience. • Advanced Microsoft Excel skills (pivot tables, lookups, large datasets, formulas). • Strong SQL experience for querying and analyzing data. • Experience building dashboards using Tableau or Power BI. • Strong analytical, problem-solving, and communication skills. • Ability to work independently while collaborating effectively with stakeholders. Preferred Qualifications • Experience supporting construction, engineering, utilities, infrastructure, or other field operations environments. • Familiarity with GIS, LiDAR, point cloud data, or other geospatial datasets. • Experience working with large operational datasets and project prioritization.