Data Analytics & AI Intern

Denton, TX, United States

Sally Beauty

Investor Relations

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Job Title: IT Data Analytics and AI Intern

(this position is Hybrid working 2 days a week in the SBH Texas Support Center)

“At Sally Beauty Holdings, we find beauty in diversity.  Our inclusivity and self-expression are what fuel our innovation and growth. You are welcome here, and you can thrive here. We find beauty in YOU. Join us.”

Essential Function

The Data Analytics 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.

Primary Duties

40% 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.

20% 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.

20% 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 

10% 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.

10% 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

Knowledge, Skills and Abilities

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or a related field.
  • 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.
  • 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.

Competencies / Attributes

  • 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.

Working Conditions and Physical Requirements

The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items such as papers, files, books, small parts; using a keyboard, driving an automobile, etc. No special physical demands are required to perform the work.

Benefits

In addition, associates of SBH may take advantage of our in house salon with complementary services and a varied selection of food options at our corporate campus. Also, featured at our corporate campus, is both a Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount!

Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, or disability.

 

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Tags: Azure Business Intelligence Computer Science CX Data analysis Data Analytics Databricks Data pipelines Data visualization E-commerce Engineering Machine Learning Mathematics ML models Pipelines Power BI Python R SQL Statistical modeling Statistics Testing

Perks/benefits: Career development Team events

Region: North America
Country: United States

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