Intern - Data Analytics

Program Timeframe: Mid-May through mid-August Join GFT , an award-winning architecture, engineering, and construction firm, as a Data Analytics Intern and gain real-world experience in a dynamic environment. Our inclusive environment will fuel your innovation and imagination while fostering a sense of belonging.At GFT, we’re not just engineering the future; we’re meticulously building it. Our comprehensive suite of construction and program management services reflects our unwavering commitment to excellence, safety, innovation, and sustainability. Our construction management services are the cornerstone of our commitment to transforming communities and enhancing lives. We oversee every construction phase to help ensure projects are completed on schedule, within budget, and to the highest safety and quality standards. What you’ll be challenged to do: During your internship, you will work alongside experienced project controls, construction management, and engineering professionals supporting a major infrastructure program. You will gain hands-on experience organizing and analyzing project data, developing dashboards, and creating reports that help project teams make informed decisions. In this capacity, the successful candidate will be responsible for the following: Support the development of Power BI dashboards and reports that communicate project performance and key metrics. Prepare management reports, presentations, and other reporting deliverables using Excel, Power BI, and related tools. Improve data quality, reporting processes, and business intelligence capabilities. What you'll bring to our firm: Must have worked on a personal, work, or academic project using scripting to sort data and present dashboards. Currently pursuing a bachelor’s degree in Electrical Engineering, Computer Science, Business, Finance, Data Analytics, Management Information Systems, Mathematics, or a related field. Basic to intermediate proficiency with Microsoft Excel, including organizing data, using formulas, sorting/filtering, and creating basic charts or PivotTables. General comfort working with data, spreadsheets, numbers, and reports. Strong attention to detail and willingness to check work for accuracy. Must have the ability to organize information from multiple files or data sources. Good analytical and problem-solving skills. Ability to communicate clearly and explain findings in simple terms. Willingness to learn Power BI, Power Query, data modeling, and DAX with guidance from the project team. Ability to work collaboratively with project managers, engineers, project controls staff, and other team members. Interest in learning how data and dashboards are used to support large infrastructure and construction programs. Compensation: The salary range for this position is $21.00 - $28.00 per hour. Salary is dependent upon experience and geographic location. Essential infrastructure touches all of our lives – so how can we shape it for the better?At GFT, a privately held AEC firm, we innovate where transportation, water, power, and buildings converge. We call this the Infrastructure of Life. We measure our success by the strength of our relationships – that’s why we’re the employer of choice for 5,000+ of the industry’s brightest engineers, planners, architects, inspectors, designers, and more.Our clients choose us for our expertise and prefer us for our nimble approach, creativity, and personal touch. Backed by over a century’s experience, together, we’re building a lasting legacy for future generations: stronger communities, a healthier planet, and better lives. GFT: Ingenuity That Shapes Lives™ GFT is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veterans’ status or other characteristics protected by law. Unsolicited resumes from third party agencies will be considered the property of GFT. Location: New York City, NYWorking Hours: 8 AM – 5 PMEmployment Status: Hourly #LI-Hybrid#LI-ML2