Data Analytics Intern
Leverage
Role: Data Analytics Intern Company: Leverage Location: Remote (New York, NY | ET Working Hours) Type: Internship Cohort Time: February–April, 2026
About Leverage Leverage is an AI-driven platform that automates purchase order (PO) management, helping businesses streamline operations, reduce errors, and make smarter procurement decisions. The company focuses on transforming traditional supply chain and procurement processes into intelligent, data-backed systems through automation and analytics.
About the Role As a Data Analytics Intern at Leverage, you’ll collaborate with the data and operations teams to analyze business metrics, identify optimization opportunities, and support data-driven decision-making. This role is ideal for analytical thinkers who want hands-on experience working with real datasets to drive insights in an AI-powered environment.
Key Responsibilities Collect, clean, and analyze operational and business data to identify patterns and improvements. Support dashboard creation and reporting to track key performance indicators. Collaborate with cross-functional teams to interpret data insights and inform product or process enhancements. Assist in testing automation workflows and documenting findings. Contribute to internal reports and presentations summarizing analytical outcomes.
What We’re Looking For Leverage is seeking detail-oriented, proactive, and analytical interns who are eager to apply data skills in a dynamic tech startup environment. You should have a strong curiosity for data-driven problem-solving, good communication skills, and a structured approach to handling complex datasets. The ideal candidate is both technically minded and business-aware, combining analytical rigor with practical insight.
Bonus Skills Basic proficiency in Excel, SQL, or Python for data analysis Familiarity with visualization tools like Tableau, Power BI, or Looker Understanding of business operations or automation systems
Why Join Leverage This internship offers the opportunity to apply analytics to real-world business challenges within an AI-driven startup. You’ll gain valuable experience in automation analytics, workflow optimization, and data storytelling while working closely with a forward-thinking and supportive team.