Data Analytics Intern – Impactful Summer (Excel, SQL)

Paretohealth; Philadelphia (Philadelphia County); On-site; USD 25,000 - 36,000; Full time

Job summary

ParetoHealth is seeking a detail-oriented Analytics intern to join our team this summer in Philadelphia. You will gain hands-on experience in data analysis, reporting, and insights generation, supporting cross-functional projects and learning from experienced professionals in a fast-paced environment.

Ideal candidates are pursuing a degree in Data Science or related fields, are proficient in Excel, and have exposure to SQL and data visualization tools like Tableau or Power BI.

Qualifications

• Pursuing a degree in Data Science, Statistics, Computer Science, Business Analytics, or related fields.
• Ability to work in our Philadelphia, PA office beginning in June through August.
• Must be a Rising Junior or Rising Senior attending an accredited College or University.

Responsibilities

• Analyze large datasets to identify trends, insights, and actionable recommendations.
• Support the creation and maintenance of dashboards, reports, and visualizations to track KPIs.
• Collaborate with cross-functional teams to define data requirements and solve complex business problems.
• Assist in data cleaning, validation, and preparation for analysis.
• Perform ad hoc analysis to support ongoing projects and business initiatives.
• Document processes, methodologies, and insights for team knowledge sharing.
• Stay informed about emerging trends and best practices in data analytics and visualization tools.

Skills

Excel

SQL

Data visualization tools

Statistical analysis basics

Clear communication

Analytical mindset

Cloud analytics tools (AWS)

Education

Pursuing a degree in Data Science, Statistics, Computer Science, Business Analytics, or related fields

Tools

Tableau

Power BI

AWS

Job description

ParetoHealth is seeking a detail-oriented Analytics intern to join our team this summer in Philadelphia. You will gain hands-on experience in data analysis, reporting, and insights generation, supporting cross-functional projects and learning from experienced professionals in a fast-paced environment.

Ideal candidates are pursuing a degree in Data Science or related fields, are proficient in Excel, and have exposure to SQL and data visualization tools like Tableau or Power BI.