Intern, Data Analytics

Summary: EV Realty is building the infrastructure backbone for electrification of commercial fleets through high-powered charging hubs. The Data Analytics Intern will help build and maintain analytics tools to support project siting decisions and enhance EV Realty's operations across various markets. Responsibilities: - Assist with data pipelines, transformations, and data preparation for integration with EV Realty’s backend infrastructure and tools - Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows - Query SQL databases and leverage GIS to support business analytics and reporting needs - Document analytical workflows, processes, data definitions, and research in a clear and effective manner - Assist with LLM and AI innovation initiatives to enhance end-user experiences - Help create niche data products as needed to support internal team objectives - Work with cross-functional leaders and experts to establish best practices and identify opportunities to improve the product development and delivery process - Effectively communicate key insights from analyses, methodologies, and data products to internal teams Required Qualifications: - Currently pursuing a Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields - Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL preferred - Aptitude for GIS-based techniques, data structures, and software such as CARTO, ArcGIS, or QGIS - Analytical experience with Excel - Cloud infrastructure knowledge with Snowflake, Databricks or similar platform - Strong analytical skills and innate problem-solving capabilities - Excellent communication and cross-functional collaboration abilities - Must be comfortable in an unstructured, fast-moving, and constantly evolving high-growth environment - Naturally accountable, responsible, and self-motivated. Independent workflow must be effectively harmonized with remote collaboration - GPA of 3.0 or higher Preferred Qualifications: - Junior or Senior standing preferred - Familiarity with the transportation, energy or broader infrastructure sectors is a plus but not required Required Skills: Python, SQL, GIS, CARTO, ArcGIS, QGIS, Excel, Snowflake, Databricks