Data Analytics Co-op

About the company

Boston Beer Company

Food & beverages · 1,001 to 5,000 employees

What you'll do

• Data Gathering
• Collect data from relevant business, quality, manufacturing, and operational sources.
• Work with internal partners to understand data requirements and identify appropriate sources.
• Integrate and extract information from multiple datasets using relevant programs, tools, and coding languages.
• Organize source data to support efficient and accurate analysis.
• Review datasets for completeness, accuracy, consistency, and reliability.
• Identify missing information, anomalies, and potential data-quality concerns.
• Partner with stakeholders to clarify discrepancies and validate findings.
• Document validation methods, assumptions, and corrections to support transparent analysis.
• Prepare, clean, and structure datasets for analytical use.
• Apply appropriate analytical and statistical methods to real-world quality and operational challenges.
• Use SQL and other relevant tools to integrate, extract, and organize data.
• Adjust analytical methods or direction based on interim findings.
• Where appropriate, support regression modeling, decision trees, clustering, or other statistical analyses.
• Analyze data to identify patterns, trends, relationships, and actionable insights.
• Apply curiosity and critical thinking when evaluating results.
• Connect analytical findings to quality processes, manufacturing operations, and business needs.
• Collaborate with Corporate Quality and brewery teams to understand the operational context behind the data.
• Develop clear, evidence-based conclusions and recommendations.
• Translate complex analytical findings into clear and accessible business insights.
• Develop reports, data visualizations, presentations, and analytical summaries.
• Present findings to Corporate Quality, brewery, and other cross-functional partners.
• Tailor communications based on the audience needs and level of technical expertise.
• Clearly explain analytical approaches, key findings, limitations, and recommended next steps.
• Current third- or fourth-year undergraduate student pursuing a degree in data analytics, data science, statistics, mathematics, business analytics, computer science, engineering, or another analytics-based program
• Excellent data analysis skills.
• Demonstrated curiosity when reviewing and interpreting data.
• Ability to adapt the direction of an analysis based on interim findings.
• Ability to integrate and extract information from datasets using relevant programs and coding languages.
• Experience using SQL.
• Strong Microsoft Excel skills.
• Strong attention to detail and commitment to data accuracy.
• Ability to manage multiple assignments and work effectively in a collaborative environment.
• Must continue to be enrolled in school upon completion of the co-op.
• Excellent written and verbal communication skills.
• Experience using R or Python to extract, manipulate, and analyze data.
• Experience conducting statistical analyses, including regression modeling, decision trees, or clustering.
• Experience developing reports, presentations, or data visualizations.
• Interest in quality systems, manufacturing, operations, or consumer packaged goods.
• Ability to communicate technical findings to both technical and nontechnical audiences.
• Applied Analytics Experience
• Leverage theoretical knowledge and analytical skills while applying them to real-world Boston Beer Company challenges.
• Gain hands-on experience across the complete analytics process, including data gathering, validation, modeling, interpretation, and presentation.
• Strengthen SQL, Excel, statistical analysis, data visualization, and presentation skills.
• Learn how to adjust analytical approaches based on new findings and evolving business questions.
• Develop experience translating data into actionable insights for business and operational partners.
• Manufacturing and Quality Systems Exposure.
• Develop an understanding of the processes and systems that support manufacturing operations.
• Learn how quality systems directly engage with operations and production.
• Meet, work with, and support professionals across the Corporate Quality team.
• Collaborate with brewery teams and other operational partners.
• Develop experience gathering requirements and communicating findings to different stakeholders.
• Build professional communication, relationship-management, and presentation skills.
• Gain insight into how corporate teams and brewery operations work together to support product quality and business performance. 

What you need

• The role is for a student and seeks someone who is curious, analytical, and detail-oriented.

Key skills

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