This position is open until fille d. Applications are being reviewed as they are received. The purpose of the Data Analytics & Geographic Information Systems (GIS) Internship program is to provide students of Data Analytics & GIS-related studies with professional Data Analytics & GIS experience in a public sector organization. This internship position will support citywide Data Analytics & GIS from the Information Technology (IT) department. This program is intended to provide part-time employment in the Data Analytics & GIS field. Upon the student's graduation and completion of the Data Analytics & GIS internship, the student should have received adequate training and experience necessary for an entry-level Data Analytics & GIS job. This position does not have any supervisory responsibilities. A qualified candidate must be able to do the following: Perform entry level Data Analytics & GIS work, including the creation and maintenance of GIS data within ArcGIS Pro and ArcGIS Online. Assist in data clean-up and data quality testing. Assist in producing printed and virtual maps for stakeholders. Assist in troubleshooting stakeholders' issues and training. Assist with creating and updating project documents and instructions. Perform other related tasks as assigned. Careful review and attention to detail is a must. Data analysis and reporting from a variety of sources. Use data visualization software to present findings. The applicant must be currently enrolled in a relevant undergraduate, graduate, professional certificate program such as Geography, Computer Science, Data Science, Management Information Systems, Environmental Sciences, Political Sciences, Public Administration, or other related fields. Applicants must have prior hands-on experience in an academic or project setting with Data Analytics or GIS Applications. Must have effective time management and demonstrated ability to meet project deadlines and goals with minimal supervision. The position will require occasional travel within the municipality for field data collection and meetings with departments.