Data Analytics Co-op

Boston Beer Company•Cincinnati, OH

2d•Onsite

About The Position

We're looking for a curious, analytical, and detail-oriented Co-op to join our Corporate Quality team. This role offers a unique opportunity for a student to apply classroom knowledge to real-world business and manufacturing challenges at Boston Beer Company. The Quality Data Analytics Co-op will support the collection, validation, modeling, interpretation, and presentation of data. The student will work with datasets from across the organization to uncover meaningful insights, identify trends, and communicate findings that support Corporate Quality and brewery operations. This role is part of a six-month co-op program running from January 4, 2027, through June 25, 2027, and is fully onsite at our Cincinnati Brewery or Breinigsville Brewery.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

Benefits

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.