Why This Role Stands Out
This hybrid internship offers a fantastic opportunity to develop your data analysis and modeling skills by working with extensive datasets in the dynamic wine and spirits industry, directly impacting business strategy. You'll thrive here if you're eager to learn, collaborate with diverse teams, and build a strong foundation in data science within a supportive, people-first culture. Apply now to gain invaluable experience and contribute to impactful insights.
Quick Overview
Job Description
Southern Glazer's Wine & Spirits seeks a 2027 Summer Data Scientist/Analyst Intern to support analytics in the wholesale wine and spirits industry. You'll work with large sales, inventory, and customer datasets to build insights that guide pricing, assortment, and supply chain decisions. Responsibilities include data cleaning, exploratory analysis, dashboard building, and assisting with predictive models using tools like SQL, Python, and BI platforms. Partner with sales, operations, and finance teams to deliver clear visualizations and recommendations in a collaborative, people-first culture with strong learning opportunities.
Responsibilities
- Support senior data scientists in analyzing sales, inventory, and customer data to uncover trends in wholesale beverage distribution
- Build and validate predictive models and dashboards to improve forecasting, pricing, and assortment decisions
- Clean, join, and document large datasets from multiple internal systems using SQL and scripting tools
- Create clear reports and visualizations for business stakeholders in sales, supply chain, and finance
- Collaborate with cross-functional teams on experiments and data-driven recommendations
- Present findings and insights to both technical and non-technical audiences
- Assist with data quality checks, metric definitions, and governance documentation
- Stay current on analytics and data science best practices relevant to wholesale and supply chain
Required Skills
- Data analysis
- SQLPython or RStatistical modeling
- Data visualization (Tableau/Power BI)
- Dashboard development
- Data cleaning and transformation
- Experimental design/AB testing basics
- Storytelling with data
- Excel/Google Sheets
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