Data Analytics Co-op
Breinigsville, PA, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWork with internal partners to understand data requirements and identify appropriate sources.
Partner with stakeholders to clarify discrepancies and validate findings.
Analyze data to identify patterns, trends, relationships, and actionable insights.
From the employer’s posting
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.
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.
Data Interpretation Analyze data to identify patterns, trends, relationships, and actionable insights. Apply curiosity and critical thinking when evaluating results.
What you’ll bring
All qualificationsCore experience
- 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.
- Ability to manage multiple assignments and work effectively in a collaborative environment.
Preferred experience
- 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.
- Ability to communicate technical findings to both technical and nontechnical audiences.
Qualification wording
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.
Ability to manage multiple assignments and work effectively in a collaborative environment.
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.
Ability to communicate technical findings to both technical and nontechnical audiences.
Tools in this posting
- Python
- R
- SQL
- Excel
Source — Tool mentions in context
- 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.
- 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.
- Ability to integrate and extract information from datasets using relevant programs and coding languages. - Experience using SQL. - Strong Microsoft Excel skills.
- 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.
- Experience using SQL. - Strong Microsoft Excel skills. - Strong attention to detail and commitment to data accuracy.
Job description
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 Breinigsville Brewery.
Key Responsibilities
- 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.
Data Validation
- 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.
Data Modeling
- 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.
Data Interpretation
- 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.
Presenting Data
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
What You'll Gain
- 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.
The Boston Beer Company may use AI-enabled tools to assist with identifying qualified candidates and streamline recruiting operations. These tools help us improve efficiency and consistency. All hiring decisions are made thoughtfully by recruiters and hiring teams. We regularly evaluate our processes to promote fairness, reduce bias, and comply with applicable laws.
To ensure the integrity of the evaluation, please refrain from using AI-generated enhancements during your phone and virtual interviews. If we discover that you have used such enhancements without authorization or prior disclosure, you may be disqualified from the hiring process. External AI tools may not be used to transcribe or record the interview at any time. This ensures your privacy, and Boston Beer's confidential information are protected.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on hcrb.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Breinigsville, PA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 8, 2026
- Recorded sightings
- 2
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.