Intern, Data Analytics

About the role

The Data Analytics Intern will support the Data Science team in developing and maintaining analytics tools and processes that enable EV Realty's operations in various markets. This role will contribute to projects that support EV Realty’s analytics tools and processes.

Responsibilities

• Aid in the creation and maintenance of data pipelines, transformations, and data preparation for integration with EV Realty’s backend infrastructure and tools.
• Create 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.
• Create niche data products as needed to support internal team objectives.
• Collaborate 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.

Requirements

• 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.
• Knowledge of cloud infrastructure with platforms like Snowflake, Databricks or similar.
• Strong analytical skills and innate problem-solving capabilities.
• Excellent communication and cross-functional collaboration abilities.
• 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.

Qualifications

• Currently pursuing a Bachelor’s degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields.
• Junior or Senior standing preferred.
• GPA of 3.0 or higher.