Data Analytics Intern

About the Role

This internship provides an opportunity to gain hands-on experience in data analytics and sales. As a Data and Analytics Intern, you will work alongside experienced analysts to address a high-priority business challenge related to areas such as product portfolio performance, market trends, sales effectiveness, buyer behavior, forecasting, or business planning. You will leverage internal and external data sources to identify trends, uncover key performance drivers, develop actionable insights, and create scalable analytical solutions that support business decision-making. The internship takes place in Summer 2027.

Key Responsibilities

• Work on real business problems with visibility to leaders and stakeholders across the organization.
• Forecasting & Reporting Optimization:
• Analyze forecasting accuracy across markets and develop a standardized reporting approach that enables business teams to better monitor performance and improve decision-making.
• Product Performance & Market Trends Analysis:
• Compare internal product sales performance with external market trends to identify growth opportunities, emerging patterns, and performance outliers.
• Present findings and recommendations to business stakeholders.
• Sales & Marketing Analytics:
• Evaluate sales and marketing initiatives to identify factors influencing business performance.
• Develop insights and recommendations that help improve effectiveness, resource allocation, and future planning efforts.

Requirements & Tech Stack

• SQL
• Tableau (preferred)
• Power BI (nice to have)
• Python
• Data visualization tools

Qualifications

• Students currently pursuing a Master’s degree with an anticipated graduation date between August 2027 and April 2028.
• Strong critical thinking and analytical reasoning skills.
• Curiosity and desire to understand the business behind the data.
• Strong written and verbal communication skills.
• Presentation and storytelling skills.
• Ability to translate complex findings into actionable insights.
• Coachability and willingness to learn.
• Self-starter who can work independently and collaboratively.
• Attention to detail and intellectual curiosity.
• Ability to navigate ambiguity and solve open-ended business problems.

Compensation: $25.55–$32.31 per hour.