Data Integrity Intern at Allen Lund Company in Orlando, FL

Summary: Allen Lund Company is a transportation brokerage company that has been growing since its inception in 1976. They are seeking a Data Integrity Intern to lead data clean-up and optimization efforts, ensuring high-quality datasets for AI training and analytics. Responsibilities: - Lead the clean-up and structural optimization of datasets within our systems to ensure high-fidelity inputs for AI training and logic - Act as the primary gatekeeper for CRM data quality, ensuring that sales and logistics data are clean, deduplicated, and ready for advanced analytics - Use logical frameworks to categorize and tag data based on relevance, helping our sales pipeline operate with mathematical precision - Perform high-level administrative prospecting by identifying patterns and opportunities within massive data sets Required Qualifications: - You are currently pursuing or hold a degree in Computer Science, Data Science, Information Technology, or a related quantitative field - You possess advanced Excel skills (e.g., Pivot Tables, VLOOKUP/XLOOKUP, Power Query, and complex logical formulas) and understand how to manipulate large datasets without compromising integrity - You understand the importance of 'clean data' in the context of Machine Learning and business intelligence - You have a high-level 'debug' mindset—you can spot inconsistencies and errors in data that others might miss - You have excellent communication skills and the ability to explain data-driven insights to non-technical team members - You are self-motivated and thrive in a fast-paced environment where accuracy is paramount Preferred Qualifications: - A BIG bonus if you have foundational knowledge of AI development, Python, or automated data processing to help us level up our internal systems! Required Skills: Excel, Data Sanitization, CRM Data Quality, Data Mapping, Machine Learning Data Preparation Benefits: Inclusive company culture that values diversity and technical innovation, Professional development with exposure to real-world AI data lifecycles, Career growth and transfer opportunities within a national logistics leader, Competitive compensation and a stable, long-term career path