Business Intelligence Intern

CosmoProf • Plano, TX

9h • Hybrid

About The Position

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon-quality products at a value price. Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers. The Business Intelligence (BI) Summer Intern will help leverage data-driven insights to improve business decision-making, including activities like analysis of large datasets, development of AI-driven models, and creation of interactive dashboards using Microsoft Fabric, Databricks, and Power BI. The work will help optimize retail operations, enhance customer experiences, and drive efficiencies across merchandising, supply chain, and e-commerce. To apply you must meet these guidelines/requirements: This is a hybrid position requiring onsite work three days per week at the Support Center in Legacy West, Plano, TX. This position is not eligible for immigration sponsorship. Housing, relocation, and transportation assistance are not provided. Availability is required from June 1 through August 7, 2026, with a minimum commitment of 30 hours per week.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in SQL for querying and manipulating large datasets.
• Experience with Python or R for data analysis, statistical modeling, and machine learning.
• Familiarity with Databricks and Microsoft Fabric for data processing and analytics.
• Hands-on experience with Power BI for dashboard development and data visualization.
• Understanding of Azure cloud platform and data engineering concepts.
• Detail-Oriented: Ability to work with large datasets, ensuring accuracy and precision in analysis and reporting.
• Customer-Focused: Understands how data-driven insights can enhance customer experience, drive sales, and optimize retail operations.
• Team Player: Works effectively in cross-functional teams, collaborating with data engineers, business analysts, and retail stakeholders.
• Problem Solver: Demonstrates critical thinking and a solution-oriented approach to complex business challenges.
• Strong Communication Skills: Ability to present data findings in a clear and actionable manner to both technical and non-technical audiences.
• Curious & Self-Motivated: Proactively seeks out opportunities to apply analytics and AI to business problems, staying updated on industry trends.
• Adaptability: Comfortable working in a fast-paced retail environment with shifting priorities and multiple projects.

Nice To Haves

• Prior work experience, coursework or internship experience in data analytics, machine learning, or business intelligence is preferred.
• Experience working with large datasets in a retail, e-commerce, or supply chain environment is a plus.

Responsibilities

• Analyze Large Datasets – Extract, clean, and analyze structured and unstructured retail data using SQL, Python, Databricks, and Microsoft Fabric to identify trends and business insights that drive decision-making.
• Develop AI-Driven Models – Assist in building and testing machine learning models for demand forecasting, customer segmentation, and fraud detection, improving operational efficiency and customer engagement.
• Create Interactive Dashboards & Reports – Design and develop real-time, visual dashboards using Power BI to track key performance metrics for merchandising, supply chain, and e-commerce teams.
• Support Data Engineering & Cloud Analytics – Work with Azure cloud platform and Microsoft Fabric to optimize data pipelines and storage solutions, ensuring data availability and accuracy.
• Collaborate & Present Insights – Work cross-functionally with business stakeholders, data scientists, and engineers to present actionable insights, recommendations, and data-driven solutions to leadership teams.

What This Job Offers

• Career Level: Intern