Data & Analytics Intern at Sleek Technologies – Chicago, Illinois

Sleek Technologies’ ongoing push to simplify logistics has disrupted an outdated freight brokerage model and strengthened the relationship between shippers and drivers—driving increased efficiency and profitability for both sides. Through Sleek Fleet’s web-based platform, thousands of drivers have already taken back control of their pay and freedom, while shippers across the country have improved operational performance and margins.

We are seeking a detail-oriented and analytical Intern to support our team in dashboard development, data analysis, and SQL-based reporting. This role is ideal for someone who enjoys working with data, identifying trends, and improving reporting accuracy and visibility across the organization.

The intern will gain hands-on experience working with real business data in a fully remote environment while contributing to meaningful operational and strategic insights.

Key Responsibilities:

Dashboard Maintenance & Build

• Maintain and update existing dashboards to ensure data accuracy
• Develop new dashboards to support business initiatives
• Improve clarity, usability, and reporting consistency

Data Analysis & Statistical Correlations

• Analyze datasets to identify trends, patterns, and correlations
• Validate data accuracy and investigate anomalies
• Summarize findings to support operational and strategic decisions

SQL Code Adjustments for Data Queries

• Write and modify SQL queries to extract and refine data
• Optimize queries for accuracy and efficiency
• Support data integrity and maintain query documentation
• Leverage AI tools responsibly to enhance analysis, reporting efficiency, and code development while maintaining data accuracy and integrity

Qualifications:

• Pursuing a degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, Business Analytics, or a related field
• Availability to work a minimum of 15 hours per week during the internship period
• Basic to intermediate SQL proficiency
• Strong Excel skills; experience with BI tools (Power BI, Tableau, Looker, etc.) is a plus
• Familiarity with statistical concepts (correlation, regression, variance, etc.)
• Strong analytical thinking and problem-solving skills
• High attention to detail and accuracy
• Ability to communicate findings clearly and concisely