Data Analytics Intern

About the Role

• This internship provides an opportunity to gain hands-on experience in data analytics and sales.
• 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.
• 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.