Analytics Intern, Fall 2026 — Richmond (Excel & Python)

Susquehanna International Group

Richmond (VA)

Presencial

USD 20 664 - 30 307

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

River's Edge Insurance Solutions in Richmond, VA is seeking an Analytics Intern to assist with administrative and data tasks in our local office. The role is ideal for a current college student or recent graduate eager to gain hands-on experience in a professional setting.

You will support data reporting, use Excel for analysis and visualization, develop Python scripts for data extraction, and collaborate with sales and business development to create promotions.

Qualificações

  • Current college student or recent graduate.
  • Advanced Excel skills (PivotTables, functions, charts).
  • Experience with Python for web scraping and data manipulation.
  • Strong written and verbal communication.
  • Ability to work with all levels of the organization.
  • Detail oriented with multitasking ability.

Responsabilidades

  • Provide support to meet deadlines in a collaborative environment.
  • Assist in the analysis and assembly of reports with accuracy and timeliness.
  • Create, maintain, and enter data into spreadsheets, databases, and CRM software.
  • Utilize advanced Excel for data analysis and visualization.
  • Develop Python scripts for web scraping and data extraction.
  • Support senior sales and business development in creating sports promotions.
  • Handle overflow tasks as needed.

Conhecimentos

Advanced Excel
Python for web scraping
Communication skills
Multitasking

Formação académica

College student or recent graduate

Ferramentas

CRM software

Descrição da oferta de emprego

River's Edge Insurance Solutions in Richmond, VA is seeking an Analytics Intern to assist with administrative and data tasks in our local office. The role is ideal for a current college student or recent graduate eager to gain hands-on experience in a professional setting.

You will support data reporting, use Excel for analysis and visualization, develop Python scripts for data extraction, and collaborate with sales and business development to create promotions.

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